diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b5e33b3cecef4ac7cd0053459773f18e6261c1f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17087, "bytes_utf8": 17087, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 17087, "bytes_utf8": 17087, "lines": 480, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1203, "bytes_utf8": 1203, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16695, "cached_input_tokens": 15744, "output_tokens": 863, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c2971261e6114c52b4e21468fcde9390d98a90fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_019d6b006b7de3e4", + "api_calls": 0, + "input_tokens": 16695, + "cached_input_tokens": 15744, + "output_tokens": 863, + "total_tokens": 17558, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18874.02, + "sql_execution_elapsed_ms_total": 334.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..97142b22f08d1f9ffca0abe4389b23b33aeba456 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:54.550844+00:00", + "ended_at": "2026-05-19T15:52:57.983861+00:00", + "elapsed_ms": 3432.99, + "returncode": 1, + "prompt_metrics": { + "chars": 17087, + "bytes_utf8": 17087, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ec461980b4250114eb00a69829431da3415ce54c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:58.986281+00:00", + "ended_at": "2026-05-19T15:53:14.427359+00:00", + "elapsed_ms": 15441.03, + "prompt_metrics": { + "chars": 17087, + "bytes_utf8": 17087, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1684, + "bytes_utf8": 1684, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1203, + "bytes_utf8": 1203, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16695, + "cached_input_tokens": 15744, + "output_tokens": 863, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..164f809bf12ac95dbd287fadf9e48ea2fdf858a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=arrival_date_year, measure_col=lead_time.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "lead_time", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..164f809bf12ac95dbd287fadf9e48ea2fdf858a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=arrival_date_year, measure_col=lead_time.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "lead_time", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d031158cdd2a8b9198cb7895c32e9a079c7049de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-ab17-7fd2-8f4b-b051c87bd344"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..926db65806cda641cb2ea697bb51a8f58b0b4f7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-ab17-7fd2-8f4b-b051c87bd344"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..89912e0b1d93e7918cbf53dd5914d80b633678ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-bc7e-7eb2-924d-c8d5cd74e2cb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"arrival_date_year\\\",\\n CAST(\\\"lead_time\\\" AS REAL) AS \\\"lead_time_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"arrival_date_year\\\"\\n ORDER BY CAST(\\\"lead_time\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"arrival_date_year\\\") AS \\\"cnt\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"arrival_date_year\\\" IS NOT NULL\\n AND TRIM(\\\"arrival_date_year\\\") <> ''\\n AND \\\"lead_time\\\" IS NOT NULL\\n AND TRIM(\\\"lead_time\\\") <> ''\\n),\\n\\\"thresholded\\\" AS (\\n SELECT\\n \\\"arrival_date_year\\\",\\n \\\"lead_time_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"arrival_date_year\\\",\\n MIN(\\\"lead_time_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"thresholded\\\"\\nWHERE \\\"rn\\\" >= \\\"target_rn\\\"\\nGROUP BY \\\"arrival_date_year\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 percentile per arrival_date_year by selecting the smallest lead_time at or above the 95th-percentile rank. \\\"lead_time\\\" is cast from TEXT to REAL for numeric ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16695,"cached_input_tokens":15744,"output_tokens":863,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..98ea1714c9a9845d25ffd06acc26b3048e7e5359 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"arrival_date_year\",\n CAST(\"lead_time\" AS REAL) AS \"lead_time_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"arrival_date_year\"\n ORDER BY CAST(\"lead_time\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"arrival_date_year\") AS \"cnt\"\n FROM \"m12\"\n WHERE \"arrival_date_year\" IS NOT NULL\n AND TRIM(\"arrival_date_year\") <> ''\n AND \"lead_time\" IS NOT NULL\n AND TRIM(\"lead_time\") <> ''\n),\n\"thresholded\" AS (\n SELECT\n \"arrival_date_year\",\n \"lead_time_value\",\n \"rn\",\n \"cnt\",\n CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"arrival_date_year\",\n MIN(\"lead_time_value\") AS \"percentile_measure\"\nFROM \"thresholded\"\nWHERE \"rn\" >= \"target_rn\"\nGROUP BY \"arrival_date_year\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 percentile per arrival_date_year by selecting the smallest lead_time at or above the 95th-percentile rank. \"lead_time\" is cast from TEXT to REAL for numeric ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..54b6c2851a451886cc2385cd4b5c905acbff72a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:18.503622+00:00", + "ended_at": "2026-05-19T15:52:21.860527+00:00", + "elapsed_ms": 3356.88, + "returncode": 1, + "prompt_metrics": { + "chars": 17464, + "bytes_utf8": 17464, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8e5ebb7f04c41cc1051ad453dcdd85ac82d0c26d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:22.863097+00:00", + "ended_at": "2026-05-19T15:52:26.151476+00:00", + "elapsed_ms": 3288.34, + "returncode": 1, + "prompt_metrics": { + "chars": 17464, + "bytes_utf8": 17464, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbc76f69ec4fb1462510e68294009fdf6e7efd15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=reservation_status, measure_col=company.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "reservation_status", + "measure_col": "company", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 197.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbc76f69ec4fb1462510e68294009fdf6e7efd15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=reservation_status, measure_col=company.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "reservation_status", + "measure_col": "company", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 197.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..984a0496ad52009f14a99389f70845aa5fbe3b62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-1e64-7f02-a1a0-56e967b9f206"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3776251213fe8675f788397bdd8daf2bd245a0bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-1e64-7f02-a1a0-56e967b9f206"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4855e3b86a87531fac18a6b9231a12aeaa5aea74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-2f46-75a3-8e9d-4a13ed075355"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c594e8738ba702095cf2b73f4e933737629fd8de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-2f46-75a3-8e9d-4a13ed075355"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..481afca83da85b1fc9f621b6d6c0f45fe46fc0f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17083, "bytes_utf8": 17083, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 721, "bytes_utf8": 721, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16714, "cached_input_tokens": 15744, "output_tokens": 717, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..877eb3559a2d1c438fa65b0395babaa410768b6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_05de8da3ad43140e", + "api_calls": 0, + "input_tokens": 16714, + "cached_input_tokens": 15744, + "output_tokens": 717, + "total_tokens": 17431, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16452.38, + "sql_execution_elapsed_ms_total": 178.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fc9046e2b8084a3934ee38a8716615a028d25821 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:10.778863+00:00", + "ended_at": "2026-05-19T15:47:27.231287+00:00", + "elapsed_ms": 16452.38, + "prompt_metrics": { + "chars": 17083, + "bytes_utf8": 17083, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1108, + "bytes_utf8": 1108, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 721, + "bytes_utf8": 721, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16714, + "cached_input_tokens": 15744, + "output_tokens": 717, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5998a65431afd4950e31381197b2087f84348859 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "days_in_waiting_list", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 101.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94986ee749a19a61c4fef835b87e7d9b613c41e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-6cad-72a3-81e8-95280c23801c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER) AS \\\"days_in_waiting_list\\\",\\n NTILE(10) OVER (\\n ORDER BY CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER) DESC\\n ) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(\\\"days_in_waiting_list\\\", '') IS NOT NULL\\n)\\nSELECT \\\"days_in_waiting_list\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"days_in_waiting_list\\\" DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"days_in_waiting_list\\\" and num_tiles=10. Casted the TEXT field to INTEGER for numeric ordering and filtered blank values before assigning NTILE buckets.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16714,"cached_input_tokens":15744,"output_tokens":717,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1efd2af8ec2933db404471256c537e8201411367 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(NULLIF(\"days_in_waiting_list\", '') AS INTEGER) AS \"days_in_waiting_list\",\n NTILE(10) OVER (\n ORDER BY CAST(NULLIF(\"days_in_waiting_list\", '') AS INTEGER) DESC\n ) AS \"tail_bucket\"\n FROM \"m12\"\n WHERE NULLIF(\"days_in_waiting_list\", '') IS NOT NULL\n)\nSELECT \"days_in_waiting_list\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"days_in_waiting_list\" DESC;","notes":"Used the Quantile Tail Slice template with measure_col bound to \"days_in_waiting_list\" and num_tiles=10. Casted the TEXT field to INTEGER for numeric ordering and filtered blank values before assigning NTILE buckets."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c4e72030c2efe65a757f288e9eccddebfec9f6fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17735, "bytes_utf8": 17735, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 664, "bytes_utf8": 664, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16869, "cached_input_tokens": 12032, "output_tokens": 486, "reasoning_output_tokens": 307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..20343da3d215e7d31c7aee204fc13330e3051859 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_0abdd7583ba915ec", + "api_calls": 0, + "input_tokens": 16869, + "cached_input_tokens": 12032, + "output_tokens": 486, + "total_tokens": 17355, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9902.22, + "sql_execution_elapsed_ms_total": 74.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..14463367e5dd46487b15a57b9eedc9b4a4880dca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:55.008282+00:00", + "ended_at": "2026-05-19T15:42:04.910536+00:00", + "elapsed_ms": 9902.22, + "prompt_metrics": { + "chars": 17735, + "bytes_utf8": 17735, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1029, + "bytes_utf8": 1029, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 664, + "bytes_utf8": 664, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16869, + "cached_input_tokens": 12032, + "output_tokens": 486, + "reasoning_output_tokens": 307 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..559261bed3f45c6359a739daee15040a7e465669 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=is_repeated_guest, condition_col=hotel.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "is_repeated_guest", + "condition_col": "hotel", + "condition_value": "City Hotel", + "positive_value": "City Hotel", + "negative_value": "Resort Hotel", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..313d6b07cb544a01e47b0af8d40696f0836ef04c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-9ab4-77d2-9cdf-67c9834226a5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"is_repeated_guest\\\",\\n SUM(CASE WHEN \\\"hotel\\\" = 'City Hotel' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"hotel\\\" = 'Resort Hotel' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m12\\\"\\n GROUP BY \\\"is_repeated_guest\\\"\\n)\\nSELECT \\\"is_repeated_guest\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Groups by \\\"is_repeated_guest\\\" and computes the City Hotel to Resort Hotel ratio; returns NULL when a group has no Resort Hotel rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16869,"cached_input_tokens":12032,"output_tokens":486,"reasoning_output_tokens":307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a5c9351fc562a0aa5d835a7cee54e56ca6ac6bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"is_repeated_guest\",\n SUM(CASE WHEN \"hotel\" = 'City Hotel' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"hotel\" = 'Resort Hotel' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m12\"\n GROUP BY \"is_repeated_guest\"\n)\nSELECT \"is_repeated_guest\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Groups by \"is_repeated_guest\" and computes the City Hotel to Resort Hotel ratio; returns NULL when a group has no Resort Hotel rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ddf2fd8c50b0ab5809856c18986461c508fd328e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16902, "bytes_utf8": 16902, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 16902, "bytes_utf8": 16902, "lines": 478, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16666, "cached_input_tokens": 12032, "output_tokens": 194, "reasoning_output_tokens": 100}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3f403c7712583ba1dc24cc51e574c8c4e9264818 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_0e4b12ac713d4a5f", + "api_calls": 0, + "input_tokens": 16666, + "cached_input_tokens": 12032, + "output_tokens": 194, + "total_tokens": 16860, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10470.11, + "sql_execution_elapsed_ms_total": 58.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5a0c25d7734590bb668bdc64839f267e7b8d4da6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:09.236464+00:00", + "ended_at": "2026-05-19T16:06:12.606837+00:00", + "elapsed_ms": 3370.35, + "returncode": 1, + "prompt_metrics": { + "chars": 16902, + "bytes_utf8": 16902, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7bb74e715a2d160b96fe72004791561f69526a08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:13.609804+00:00", + "ended_at": "2026-05-19T16:06:20.709604+00:00", + "elapsed_ms": 7099.76, + "prompt_metrics": { + "chars": 16902, + "bytes_utf8": 16902, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 720, + "bytes_utf8": 720, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 359, + "bytes_utf8": 359, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16666, + "cached_input_tokens": 12032, + "output_tokens": 194, + "reasoning_output_tokens": 100 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d91c626a56f3051faff914c55df09b674e91653 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=distribution_channel.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "distribution_channel", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 223.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d91c626a56f3051faff914c55df09b674e91653 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=distribution_channel.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "distribution_channel", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 223.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5b4afec1c012c3b6d7f0c8923def370f7661bba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-cb4a-78e1-8229-078ca79a5516"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84f17f69ea4124ee4df306a2d991ab54dda860cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-cb4a-78e1-8229-078ca79a5516"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..44f448e87b4d98d5f06ef020f6acfd3df4138823 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-dc6e-7df0-952d-dfb1a115f150"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"distribution_channel\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"distribution_channel\\\"\\nORDER BY \\\"support\\\" ASC, \\\"distribution_channel\\\"\\nLIMIT 12;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"distribution_channel\\\" and top_k=12.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16666,"cached_input_tokens":12032,"output_tokens":194,"reasoning_output_tokens":100}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c357c2d701c2d60f3e3188e5375ac5a97afa80c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"distribution_channel\",\n COUNT(*) AS \"support\"\nFROM \"m12\"\nGROUP BY \"distribution_channel\"\nORDER BY \"support\" ASC, \"distribution_channel\"\nLIMIT 12;","notes":"Applied the Low-Support Group Count template with group_col bound to \"distribution_channel\" and top_k=12."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f5289a9d02de081860c7dbc9a5e2f36c5dd34c97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17244, "bytes_utf8": 17244, "lines": 484, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 501, "bytes_utf8": 501, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16752, "cached_input_tokens": 12032, "output_tokens": 384, "reasoning_output_tokens": 257}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0c9f37b92a9e3bede6b9f7c238420fbff79317ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_100f748beb8bff70", + "api_calls": 0, + "input_tokens": 16752, + "cached_input_tokens": 12032, + "output_tokens": 384, + "total_tokens": 17136, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9874.09, + "sql_execution_elapsed_ms_total": 83.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4de82e3ef057b9452849053b5fda22625df775c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:22.451442+00:00", + "ended_at": "2026-05-19T15:43:32.325574+00:00", + "elapsed_ms": 9874.09, + "prompt_metrics": { + "chars": 17244, + "bytes_utf8": 17244, + "lines": 484, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 868, + "bytes_utf8": 868, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 501, + "bytes_utf8": 501, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16752, + "cached_input_tokens": 12032, + "output_tokens": 384, + "reasoning_output_tokens": 257 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1576f72d7cf1c08454ca1502fa49ce141a82e451 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,484 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=is_canceled, group_col_2=reservation_status.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "is_canceled", + "group_col_2": "reservation_status", + "predicate_col": "previous_bookings_not_canceled", + "predicate_op": "=", + "predicate_value": "0", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bff6870a9e52f587db418936e00c1de03daff2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-f064-7790-88a6-78b810383c8a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"is_canceled\\\", \\\"reservation_status\\\", COUNT(*) AS row_count\\nFROM \\\"m12\\\"\\nWHERE \\\"previous_bookings_not_canceled\\\" = '0'\\nGROUP BY \\\"is_canceled\\\", \\\"reservation_status\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"is_canceled\\\", group_col_2=\\\"reservation_status\\\", and predicate on TEXT column \\\"previous_bookings_not_canceled\\\" using the string literal '0'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16752,"cached_input_tokens":12032,"output_tokens":384,"reasoning_output_tokens":257}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3eb48c53c69d17450591bb5a257bb76dd697e439 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"is_canceled\", \"reservation_status\", COUNT(*) AS row_count\nFROM \"m12\"\nWHERE \"previous_bookings_not_canceled\" = '0'\nGROUP BY \"is_canceled\", \"reservation_status\"\nORDER BY row_count DESC;","notes":"Used the provided filtered two-dimensional group count template with group_col=\"is_canceled\", group_col_2=\"reservation_status\", and predicate on TEXT column \"previous_bookings_not_canceled\" using the string literal '0'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d3e459417aeaeb091847f4b217d913efd91a9b1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17493, "bytes_utf8": 17493, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 748, "bytes_utf8": 748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16797, "cached_input_tokens": 15744, "output_tokens": 1051, "reasoning_output_tokens": 868}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..752d97de431ae24da10f39fe8c6fb90ccd1a02c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_1146aa430e96abaa", + "api_calls": 0, + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 1051, + "total_tokens": 17848, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18200.86, + "sql_execution_elapsed_ms_total": 75.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cca4bcb2b113ce0f7c1e77e35f661158fe15bb0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:54.878061+00:00", + "ended_at": "2026-05-19T15:51:13.078962+00:00", + "elapsed_ms": 18200.86, + "prompt_metrics": { + "chars": 17493, + "bytes_utf8": 17493, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1116, + "bytes_utf8": 1116, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 748, + "bytes_utf8": 748, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 1051, + "reasoning_output_tokens": 868 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..42f28bcd170b9b15016a3296d326339047c39a1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=required_car_parking_spaces, measure_col=booking_changes.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "required_car_parking_spaces", + "measure_col": "booking_changes", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb88c04740b9e3bfae5fa121b09bf6198a2d9a98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-d7c6-77b3-ace3-980067598d15"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT \\\"required_car_parking_spaces\\\", SUM(CAST(\\\"booking_changes\\\" AS INTEGER)) AS group_value\\n FROM \\\"m12\\\"\\n GROUP BY \\\"required_car_parking_spaces\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"required_car_parking_spaces\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the planned Relative-to-Total Extreme Threshold template with group_col=\\\"required_car_parking_spaces\\\" and measure_col=\\\"booking_changes\\\". CAST to INTEGER is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16797,"cached_input_tokens":15744,"output_tokens":1051,"reasoning_output_tokens":868}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfdb1ceca2ef85cc1b540eaa0b76a191b35facea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT \"required_car_parking_spaces\", SUM(CAST(\"booking_changes\" AS INTEGER)) AS group_value\n FROM \"m12\"\n GROUP BY \"required_car_parking_spaces\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"required_car_parking_spaces\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the planned Relative-to-Total Extreme Threshold template with group_col=\"required_car_parking_spaces\" and measure_col=\"booking_changes\". CAST to INTEGER is applied because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..45802e7081a5c5d09b2b54ad9c25b839daedfad2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17127, "bytes_utf8": 17127, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 770, "bytes_utf8": 770, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16713, "cached_input_tokens": 15744, "output_tokens": 719, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..22d69eda19aa00dadf006cfd10072a8d5a92bdb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_134bac853cfcd408", + "api_calls": 0, + "input_tokens": 16713, + "cached_input_tokens": 15744, + "output_tokens": 719, + "total_tokens": 17432, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15014.35, + "sql_execution_elapsed_ms_total": 56.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..610ea77530b50aae580a4a9817a226f5c3674329 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:16.655471+00:00", + "ended_at": "2026-05-19T15:56:31.669853+00:00", + "elapsed_ms": 15014.35, + "prompt_metrics": { + "chars": 17127, + "bytes_utf8": 17127, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1138, + "bytes_utf8": 1138, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 770, + "bytes_utf8": 770, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16713, + "cached_input_tokens": 15744, + "output_tokens": 719, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9aec78c363ee9e3f8eb5396540c9e24edd056e0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=stays_in_weekend_nights, measure_col=stays_in_weekend_nights.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "stays_in_weekend_nights", + "measure_col": "stays_in_weekend_nights", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ca89f41eff45f4b07eba75eb9fc6d58d7ade806 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-c0ac-78b1-850a-f4be91e53f7b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"stays_in_weekend_nights\\\",\\n CAST(\\\"stays_in_weekend_nights\\\" AS REAL) AS \\\"percentile_measure\\\"\\nFROM \\\"m12\\\"\\nWHERE \\\"stays_in_weekend_nights\\\" IS NOT NULL\\n AND \\\"stays_in_weekend_nights\\\" <> ''\\nGROUP BY \\\"stays_in_weekend_nights\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 18;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because the bound group column and measure column are the same, every row within a group has the same measure value, so the 0.9 grouped percentile is exactly that group's numeric stays_in_weekend_nights value. The query filters empty values, enforces the provided minimum group size, and returns the top groups in descending percentile order.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16713,"cached_input_tokens":15744,"output_tokens":719,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..71cd902178ba455345be7d5a926310cc03d1da5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"stays_in_weekend_nights\",\n CAST(\"stays_in_weekend_nights\" AS REAL) AS \"percentile_measure\"\nFROM \"m12\"\nWHERE \"stays_in_weekend_nights\" IS NOT NULL\n AND \"stays_in_weekend_nights\" <> ''\nGROUP BY \"stays_in_weekend_nights\"\nHAVING COUNT(*) >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 18;","notes":"SQLite does not support PERCENTILE_CONT. Because the bound group column and measure column are the same, every row within a group has the same measure value, so the 0.9 grouped percentile is exactly that group's numeric stays_in_weekend_nights value. The query filters empty values, enforces the provided minimum group size, and returns the top groups in descending percentile order."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d3e2d1954f570354d60d95eab0176d74444a7da3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16822, "bytes_utf8": 16822, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 312, "bytes_utf8": 312, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16628, "cached_input_tokens": 12032, "output_tokens": 273, "reasoning_output_tokens": 196}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..feca249e38526613edfe331e48e62e4898094d25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_15628bec73cabaf8", + "api_calls": 0, + "input_tokens": 16628, + "cached_input_tokens": 12032, + "output_tokens": 273, + "total_tokens": 16901, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13539.73, + "sql_execution_elapsed_ms_total": 60.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ef597e8f83a955614c04dfa730f2258b43396e9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:35.597209+00:00", + "ended_at": "2026-05-19T15:32:49.136969+00:00", + "elapsed_ms": 13539.73, + "prompt_metrics": { + "chars": 16822, + "bytes_utf8": 16822, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 995, + "bytes_utf8": 995, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 312, + "bytes_utf8": 312, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16628, + "cached_input_tokens": 12032, + "output_tokens": 273, + "reasoning_output_tokens": 196 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4b6fb6cb9c58ba3119cb10da7d65dbe13f2afd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=distribution_channel.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "distribution_channel", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c4ef2d1f609903fcc1da65f98fecb35aa6c9006 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40de-1189-73a3-9e14-5c24efd9a381"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987614, Requested 17263. Please try again in 146ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"distribution_channel\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"distribution_channel\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided grouped-count template with group_col bound to distribution_channel on the single table m12.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16628,"cached_input_tokens":12032,"output_tokens":273,"reasoning_output_tokens":196}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d52f813fdb6d2c431534968670d0549c6c1511d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"distribution_channel\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nGROUP BY \"distribution_channel\"\nORDER BY \"row_count\" DESC;","notes":"Used the provided grouped-count template with group_col bound to distribution_channel on the single table m12."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_15628bec73cabaf8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1b7299949b50765134af7bf8b3803abef774f93b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:46.696728+00:00", + "ended_at": "2026-05-19T16:07:49.575393+00:00", + "elapsed_ms": 2878.64, + "returncode": 1, + "prompt_metrics": { + "chars": 16893, + "bytes_utf8": 16893, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d186593da1da3c12b4a023ef18da4370d6a75f2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:50.577420+00:00", + "ended_at": "2026-05-19T16:07:53.619688+00:00", + "elapsed_ms": 3042.24, + "returncode": 1, + "prompt_metrics": { + "chars": 16893, + "bytes_utf8": 16893, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a23e32929ffa27bf1323219dd59177d26930971c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=booking_changes.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "booking_changes", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2016.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a23e32929ffa27bf1323219dd59177d26930971c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=booking_changes.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "booking_changes", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2016.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..226fd7a91cbcfbcb92de131d6f94c614f0df8071 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-4819-7f61-9f43-5b3ad86413d6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fad5116b2b29b89e91b766b9933004c93ec3f7f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-4819-7f61-9f43-5b3ad86413d6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a44283a7ace02eac353235e4eb6caaf33dff500 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-575c-7ba3-a136-b2a2531c8dd6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..067501a64b89589eba53b6c84965c2233d2d1124 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-575c-7ba3-a136-b2a2531c8dd6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f71137346104e08a6d8ed4b808fb96f366b0d9aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16885, "bytes_utf8": 16885, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 406, "bytes_utf8": 406, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16653, "cached_input_tokens": 0, "output_tokens": 322, "reasoning_output_tokens": 211}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f2e0e643de3d4e08a75bde284470eec98ec42b10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_1aff4a586c76799d", + "api_calls": 0, + "input_tokens": 16653, + "cached_input_tokens": 0, + "output_tokens": 322, + "total_tokens": 16975, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8740.05, + "sql_execution_elapsed_ms_total": 57.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ef8b8286aea1b9a2c22b1a3dab192eb43af1a94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:27.030606+00:00", + "ended_at": "2026-05-19T15:28:35.770680+00:00", + "elapsed_ms": 8740.05, + "prompt_metrics": { + "chars": 16885, + "bytes_utf8": 16885, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 768, + "bytes_utf8": 768, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 406, + "bytes_utf8": 406, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16653, + "cached_input_tokens": 0, + "output_tokens": 322, + "reasoning_output_tokens": 211 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cdd9206602e70b73b36ecb008705d499d1dba93f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=hotel, measure_col=lead_time.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "hotel", + "measure_col": "lead_time", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 42.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e4bedcd178c668558465cf8e479176c6b2d77af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-469e-77c0-8694-fd5889a73beb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"hotel\\\", SUM(CAST(NULLIF(\\\"lead_time\\\", '') AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"hotel\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"hotel\\\" and measure_col=\\\"lead_time\\\". Casts \\\"lead_time\\\" from TEXT to NUMERIC and treats empty strings as NULL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16653,"cached_input_tokens":0,"output_tokens":322,"reasoning_output_tokens":211}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c01d064f5d3591dd040421a70f9daee39ac13f8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"hotel\", SUM(CAST(NULLIF(\"lead_time\", '') AS NUMERIC)) AS \"total_measure\"\nFROM \"m12\"\nGROUP BY \"hotel\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the planned grouped-sum template with group_col=\"hotel\" and measure_col=\"lead_time\". Casts \"lead_time\" from TEXT to NUMERIC and treats empty strings as NULL for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1aff4a586c76799d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d4af4dafd16738ca853aa71c8146763fb2420897 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:10:07.619763+00:00", + "ended_at": "2026-05-19T16:10:10.830098+00:00", + "elapsed_ms": 3210.31, + "returncode": 1, + "prompt_metrics": { + "chars": 17008, + "bytes_utf8": 17008, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ecec69c477579af1f4a467e6d365afcc4b70d0f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:10:11.832898+00:00", + "ended_at": "2026-05-19T16:10:16.381763+00:00", + "elapsed_ms": 4548.82, + "returncode": 1, + "prompt_metrics": { + "chars": 17008, + "bytes_utf8": 17008, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0ca971edc3373c136a4230b9f7c9329d0e9f6e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=arrival_date_week_number, measure_col=lead_time.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_week_number", + "measure_col": "lead_time", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0ca971edc3373c136a4230b9f7c9329d0e9f6e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=arrival_date_week_number, measure_col=lead_time.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_week_number", + "measure_col": "lead_time", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e2a50014b43dcadb0608729aeeef0f721b5a8af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6e84-7043-9182-7a334784036f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1495d008fe78bcc30a997f10de1b3c732a835cf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6e84-7043-9182-7a334784036f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b543b16339b58fc1ca4c0b0ccccb403bec80f866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7f07-7f90-ad24-1e29eeba60e5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8fc4a5729b04a6382e8a0c5bfe8fbfd57dd06cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-7f07-7f90-ad24-1e29eeba60e5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6b3958891d421479322754d176719d153a4265c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17463, "bytes_utf8": 17463, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 716, "bytes_utf8": 716, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16795, "cached_input_tokens": 15744, "output_tokens": 662, "reasoning_output_tokens": 463}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..37f01403b6dff4d8affe2d1f0f4bb25c9d542db0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_1d4ce0eeb4098eeb", + "api_calls": 0, + "input_tokens": 16795, + "cached_input_tokens": 15744, + "output_tokens": 662, + "total_tokens": 17457, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13085.46, + "sql_execution_elapsed_ms_total": 59.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f56855d8f2aea9a54242efd9feab2d9dbdfe747c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:41.393737+00:00", + "ended_at": "2026-05-19T15:52:54.479220+00:00", + "elapsed_ms": 13085.46, + "prompt_metrics": { + "chars": 17463, + "bytes_utf8": 17463, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1123, + "bytes_utf8": 1123, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 716, + "bytes_utf8": 716, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16795, + "cached_input_tokens": 15744, + "output_tokens": 662, + "reasoning_output_tokens": 463 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..853cbbd1c3869b91201cc24c9887b74cda2dda7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=hotel, measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "hotel", + "measure_col": "days_in_waiting_list", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 78.68, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..97c047b67aa91551310327016712a0ce104f979f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-77cc-7a30-9b48-4292fa00d758"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"hotel\\\", SUM(CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n GROUP BY \\\"hotel\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"hotel\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided relative-to-total threshold template with group_col=hotel and measure_col=days_in_waiting_list. The TEXT measure is cast to REAL, and empty strings are treated as NULL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16795,"cached_input_tokens":15744,"output_tokens":662,"reasoning_output_tokens":463}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcdb7cdd6c2db677573d3f6330740fc1a65a3165 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"hotel\", SUM(CAST(NULLIF(\"days_in_waiting_list\", '') AS REAL)) AS \"group_value\"\n FROM \"m12\"\n GROUP BY \"hotel\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"hotel\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Applied the provided relative-to-total threshold template with group_col=hotel and measure_col=days_in_waiting_list. The TEXT measure is cast to REAL, and empty strings are treated as NULL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1d4ce0eeb4098eeb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f8d424378a4e2f666b938e713e10d04ff7ad02b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17724, "bytes_utf8": 17724, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 699, "bytes_utf8": 699, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16868, "cached_input_tokens": 15744, "output_tokens": 581, "reasoning_output_tokens": 392}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3aa0ec755b8933cb6890d457d3d2ef651faacc6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_20a4c9fab51777d1", + "api_calls": 0, + "input_tokens": 16868, + "cached_input_tokens": 15744, + "output_tokens": 581, + "total_tokens": 17449, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11205.93, + "sql_execution_elapsed_ms_total": 67.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ca1bd76fcc3e878e1aeaec46056b739cc077264f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:09.998875+00:00", + "ended_at": "2026-05-19T15:41:21.204838+00:00", + "elapsed_ms": 11205.93, + "prompt_metrics": { + "chars": 17724, + "bytes_utf8": 17724, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1070, + "bytes_utf8": 1070, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 699, + "bytes_utf8": 699, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16868, + "cached_input_tokens": 15744, + "output_tokens": 581, + "reasoning_output_tokens": 392 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecd908c134ab98228acfbd8699734caae4b379bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=meal, condition_col=required_car_parking_spaces.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "meal", + "condition_col": "required_car_parking_spaces", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 101.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1cedfc56aa012689d182d649d5e949c2d003fe48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-eaea-7f93-8cb0-f651b56572f5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"meal\\\",\\n SUM(CASE WHEN \\\"required_car_parking_spaces\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"required_car_parking_spaces\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m12\\\"\\n GROUP BY \\\"meal\\\"\\n)\\nSELECT\\n \\\"meal\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"meal\\\" and condition_col=\\\"required_car_parking_spaces\\\", computing the ratio of value '0' to value '1' per meal category.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16868,"cached_input_tokens":15744,"output_tokens":581,"reasoning_output_tokens":392}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4972037ab4c27754946e518c67055f1258966559 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"meal\",\n SUM(CASE WHEN \"required_car_parking_spaces\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"required_car_parking_spaces\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m12\"\n GROUP BY \"meal\"\n)\nSELECT\n \"meal\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped ratio template with group_col=\"meal\" and condition_col=\"required_car_parking_spaces\", computing the ratio of value '0' to value '1' per meal category."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8d9a683f8d36d9e03d3ae31eb054633e2e93fee9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:43.269415+00:00", + "ended_at": "2026-05-19T16:09:46.355471+00:00", + "elapsed_ms": 3086.03, + "returncode": 1, + "prompt_metrics": { + "chars": 16984, + "bytes_utf8": 16984, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..24a3ce90a6f458d3428ca913c202bcac5c25613a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:47.357429+00:00", + "ended_at": "2026-05-19T16:09:50.622874+00:00", + "elapsed_ms": 3265.41, + "returncode": 1, + "prompt_metrics": { + "chars": 16984, + "bytes_utf8": 16984, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc222868e67b7612f137fd54ad7e4707e4b9d0b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=arrival_date_year, measure_col=adr.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "adr", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 146.304, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc222868e67b7612f137fd54ad7e4707e4b9d0b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=arrival_date_year, measure_col=adr.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "adr", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 146.304, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a36f55473aac03e953ceaaa74b11695dc694a6b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-0f88-7a23-b306-e36ab76a1c6f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6b4046247c715f6ce966c7c9a315c746a3a5d22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-0f88-7a23-b306-e36ab76a1c6f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f3ce4ec06416534609e15e46363908c84a4e8f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1f5a-7080-a3ca-04f56215851d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..46202a0542a5aaf5e01880247e2a61126ec398ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-1f5a-7080-a3ca-04f56215851d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5aa1a311f84c5349ef30737f895dce5f9ae81a2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17462, "bytes_utf8": 17462, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 753, "bytes_utf8": 753, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16797, "cached_input_tokens": 15744, "output_tokens": 608, "reasoning_output_tokens": 386}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2e8b7435ae5616ce9948959fb01d1e90aa58bd12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_23415a19338ee319", + "api_calls": 0, + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 608, + "total_tokens": 17405, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15165.59, + "sql_execution_elapsed_ms_total": 55.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d8783d69bc49aa66bd7b717e8e0b3f9b80cf2ad6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:26.161575+00:00", + "ended_at": "2026-05-19T15:52:41.327194+00:00", + "elapsed_ms": 15165.59, + "prompt_metrics": { + "chars": 17462, + "bytes_utf8": 17462, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1173, + "bytes_utf8": 1173, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 753, + "bytes_utf8": 753, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 608, + "reasoning_output_tokens": 386 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..093b0cabecd9d94d2d5b71c050bd794a1251f775 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=hotel, measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "hotel", + "measure_col": "days_in_waiting_list", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 101.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..34b794c15de343cbe0140c363826a2f82c3094e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-3c41-7360-9737-7ce5cb4d17b9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"hotel\\\",\\n SUM(CAST(COALESCE(NULLIF(\\\"days_in_waiting_list\\\", ''), '0') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n GROUP BY \\\"hotel\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"hotel\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"hotel\\\" and measure_col=\\\"days_in_waiting_list\\\". Because the schema stores numeric fields as TEXT, the measure is cast to REAL and empty strings are treated as 0 before aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16797,"cached_input_tokens":15744,"output_tokens":608,"reasoning_output_tokens":386}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4024177f4de6c7c07073a56a83a9fcd7c26e3898 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"hotel\",\n SUM(CAST(COALESCE(NULLIF(\"days_in_waiting_list\", ''), '0') AS REAL)) AS \"group_value\"\n FROM \"m12\"\n GROUP BY \"hotel\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"hotel\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the planned template with group_col=\"hotel\" and measure_col=\"days_in_waiting_list\". Because the schema stores numeric fields as TEXT, the measure is cast to REAL and empty strings are treated as 0 before aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f0805281c45d13fca7fb3a2493a89db13b0a05d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17707, "bytes_utf8": 17707, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 764, "bytes_utf8": 764, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16867, "cached_input_tokens": 12032, "output_tokens": 699, "reasoning_output_tokens": 482}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1c746d1beff69e1444d8691646d1362f0ba46a53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_238e026f62ca3b3f", + "api_calls": 0, + "input_tokens": 16867, + "cached_input_tokens": 12032, + "output_tokens": 699, + "total_tokens": 17566, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12606.92, + "sql_execution_elapsed_ms_total": 73.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5c664ef11d2c18fad1a1c93b365b439c55d8a350 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:14.540442+00:00", + "ended_at": "2026-05-19T15:40:27.147392+00:00", + "elapsed_ms": 12606.92, + "prompt_metrics": { + "chars": 17707, + "bytes_utf8": 17707, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1169, + "bytes_utf8": 1169, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 764, + "bytes_utf8": 764, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16867, + "cached_input_tokens": 12032, + "output_tokens": 699, + "reasoning_output_tokens": 482 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..365a08c4782b5593b546fbd3555e79a271169ec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=adults, condition_col=is_repeated_guest.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "adults", + "condition_col": "is_repeated_guest", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b5dc958458ac543c4f6a65a93eaebab981b6d50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-1250-78c2-a658-6ed9934766fa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"adults\\\",\\n SUM(CASE WHEN \\\"is_repeated_guest\\\" = '0' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"is_repeated_guest\\\" = '1' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m12\\\"\\n GROUP BY \\\"adults\\\"\\n)\\nSELECT \\\"adults\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Uses the requested grouped ratio template with group_col=\\\"adults\\\" and condition_col=\\\"is_repeated_guest\\\", computing count('0') / count('1') per adults group. \\\"adults\\\" is grouped as stored, and NULLIF prevents division by zero.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16867,"cached_input_tokens":12032,"output_tokens":699,"reasoning_output_tokens":482}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..675dcd8fa2b848c47e3f74358f51ef19dece8b91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT \"adults\",\n SUM(CASE WHEN \"is_repeated_guest\" = '0' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"is_repeated_guest\" = '1' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m12\"\n GROUP BY \"adults\"\n)\nSELECT \"adults\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;","notes":"Uses the requested grouped ratio template with group_col=\"adults\" and condition_col=\"is_repeated_guest\", computing count('0') / count('1') per adults group. \"adults\" is grouped as stored, and NULLIF prevents division by zero."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_238e026f62ca3b3f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d2e179e35ed42535f32dd60e0c3775081b7c4a64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17188, "bytes_utf8": 17188, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 451, "bytes_utf8": 451, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16723, "cached_input_tokens": 15744, "output_tokens": 242, "reasoning_output_tokens": 125}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bd5d40e9d9d4615c49363940b0c35e083e7e49e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_2751bb833571d67f", + "api_calls": 0, + "input_tokens": 16723, + "cached_input_tokens": 15744, + "output_tokens": 242, + "total_tokens": 16965, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7628.21, + "sql_execution_elapsed_ms_total": 52.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a31213e6b1f145d56924801815096b1490303829 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:52.480967+00:00", + "ended_at": "2026-05-19T16:01:00.109210+00:00", + "elapsed_ms": 7628.21, + "prompt_metrics": { + "chars": 17188, + "bytes_utf8": 17188, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 806, + "bytes_utf8": 806, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 451, + "bytes_utf8": 451, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16723, + "cached_input_tokens": 15744, + "output_tokens": 242, + "reasoning_output_tokens": 125 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b51b7ecc72b92fe8e796b945f1f81a0dabfcf36d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=is_repeated_guest, condition_col=total_of_special_requests.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "is_repeated_guest", + "condition_col": "total_of_special_requests", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 161.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c9cdf7b6485d1dfd8f3e6bad513b0b8379bfbbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-f609-7df1-b102-37ca53a83135"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"is_repeated_guest\\\",\\n AVG(CASE WHEN \\\"total_of_special_requests\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"is_repeated_guest\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"is_repeated_guest\\\" and condition_col=\\\"total_of_special_requests\\\", using condition_value '1' as provided in the bindings.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16723,"cached_input_tokens":15744,"output_tokens":242,"reasoning_output_tokens":125}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..22849c714ace5559f066f7f9566834a101654b84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"is_repeated_guest\",\n AVG(CASE WHEN \"total_of_special_requests\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m12\"\nGROUP BY \"is_repeated_guest\"\nORDER BY condition_rate DESC;","notes":"Applied the Grouped Condition Rate template with group_col=\"is_repeated_guest\" and condition_col=\"total_of_special_requests\", using condition_value '1' as provided in the bindings."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2751bb833571d67f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..700c14835ad21e371ff4ff59b5bc2e4bf7067283 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:01.347328+00:00", + "ended_at": "2026-05-19T16:06:04.493691+00:00", + "elapsed_ms": 3146.32, + "returncode": 1, + "prompt_metrics": { + "chars": 16892, + "bytes_utf8": 16892, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f72892b20149dcbcf6f0bc121950faedf8e88b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:05.496407+00:00", + "ended_at": "2026-05-19T16:06:09.224796+00:00", + "elapsed_ms": 3728.34, + "returncode": 1, + "prompt_metrics": { + "chars": 16892, + "bytes_utf8": 16892, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1449e005942d0f2349e18269f94d7086ce3ac0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=market_segment.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "market_segment", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1449e005942d0f2349e18269f94d7086ce3ac0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=market_segment.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "market_segment", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..382b6c8df3faa7566bf407337a1812f522173f07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-ad29-7032-b63d-d8216f289091"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e4ffb9ca6382a74bda62e1069485b6fa8e37070 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-ad29-7032-b63d-d8216f289091"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e68c82ab6c784954de2414912565b30f134524a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-bccd-7d92-9469-109dc947e2c2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7800a06d8acfaffa97df52edf1242c64b2e0b9b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-bccd-7d92-9469-109dc947e2c2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46f77244f6b9e49ee84094be02757560c2839191 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17247, "bytes_utf8": 17247, "lines": 484, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 464, "bytes_utf8": 464, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16754, "cached_input_tokens": 12032, "output_tokens": 467, "reasoning_output_tokens": 344}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..611494370fb1eccbe773cc9928738b6f00a88b9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_29aa22298293aff9", + "api_calls": 0, + "input_tokens": 16754, + "cached_input_tokens": 12032, + "output_tokens": 467, + "total_tokens": 17221, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19126.98, + "sql_execution_elapsed_ms_total": 126.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7df6b6ef08488a831c00de6c3dd7db5937cdcc2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:11.312393+00:00", + "ended_at": "2026-05-19T15:44:30.439415+00:00", + "elapsed_ms": 19126.98, + "prompt_metrics": { + "chars": 17247, + "bytes_utf8": 17247, + "lines": 484, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1501, + "bytes_utf8": 1501, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 464, + "bytes_utf8": 464, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16754, + "cached_input_tokens": 12032, + "output_tokens": 467, + "reasoning_output_tokens": 344 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..886b6f4df79c44051abc3913eb294cc5bc8ffb27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,484 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=lead_time, group_col_2=arrival_date_day_of_month.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "lead_time", + "group_col_2": "arrival_date_day_of_month", + "predicate_col": "deposit_type", + "predicate_op": "=", + "predicate_value": "No Deposit", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 161.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5ebd2f550934ebbe480e912e1d21131f5237ab3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e8-af3d-74e3-97c4-69aee772bca9"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 17389. Please try again in 521ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 17389. Please try again in 521ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"lead_time\\\", \\\"arrival_date_day_of_month\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nWHERE \\\"deposit_type\\\" = 'No Deposit'\\nGROUP BY \\\"lead_time\\\", \\\"arrival_date_day_of_month\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided filtered two-dimensional group-count template with group_col=\\\"lead_time\\\", group_col_2=\\\"arrival_date_day_of_month\\\", and predicate deposit_type = 'No Deposit'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16754,"cached_input_tokens":12032,"output_tokens":467,"reasoning_output_tokens":344}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..627e0a6485a74e94c750227848ba5cff5b56bda5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"lead_time\", \"arrival_date_day_of_month\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nWHERE \"deposit_type\" = 'No Deposit'\nGROUP BY \"lead_time\", \"arrival_date_day_of_month\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided filtered two-dimensional group-count template with group_col=\"lead_time\", group_col_2=\"arrival_date_day_of_month\", and predicate deposit_type = 'No Deposit'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29aa22298293aff9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4beae0c6ff186b56b250adc3b60abcf59169d7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17759, "bytes_utf8": 17759, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 714, "bytes_utf8": 714, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16866, "cached_input_tokens": 12032, "output_tokens": 587, "reasoning_output_tokens": 413}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e3e9acc3fe43ef3c65b7966f66f86695407b1a91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_2aefd85936f7e75d", + "api_calls": 0, + "input_tokens": 16866, + "cached_input_tokens": 12032, + "output_tokens": 587, + "total_tokens": 17453, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16244.06, + "sql_execution_elapsed_ms_total": 66.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c3069d53ade92bf7319ca97d1de68807b7e751fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:38.684954+00:00", + "ended_at": "2026-05-19T15:41:54.929049+00:00", + "elapsed_ms": 16244.06, + "prompt_metrics": { + "chars": 17759, + "bytes_utf8": 17759, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1075, + "bytes_utf8": 1075, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 714, + "bytes_utf8": 714, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16866, + "cached_input_tokens": 12032, + "output_tokens": 587, + "reasoning_output_tokens": 413 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b53be864865372b216ba4e71a174d24547a14cba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=distribution_channel, condition_col=reservation_status.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "distribution_channel", + "condition_col": "reservation_status", + "condition_value": "Check-Out", + "positive_value": "Check-Out", + "negative_value": "Canceled", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bbd6c777a2bcb2f82904dd8af665c5b86eeb0544 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-5af9-7c13-8433-5464ea8df688"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"distribution_channel\\\",\\n SUM(CASE WHEN \\\"reservation_status\\\" = 'Check-Out' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"reservation_status\\\" = 'Canceled' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m12\\\"\\n GROUP BY \\\"distribution_channel\\\"\\n)\\nSELECT \\\"distribution_channel\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes the ratio of 'Check-Out' to 'Canceled' reservation_status values for each distribution_channel; groups with zero canceled rows yield NULL ratios.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16866,"cached_input_tokens":12032,"output_tokens":587,"reasoning_output_tokens":413}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..59d5c3613ff521a54da801bcad1cdfb72ba3eae3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"distribution_channel\",\n SUM(CASE WHEN \"reservation_status\" = 'Check-Out' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"reservation_status\" = 'Canceled' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m12\"\n GROUP BY \"distribution_channel\"\n)\nSELECT \"distribution_channel\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Computes the ratio of 'Check-Out' to 'Canceled' reservation_status values for each distribution_channel; groups with zero canceled rows yield NULL ratios."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a773f2a34a513f7268ae73a754d69d1f9425afdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17461, "bytes_utf8": 17461, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 675, "bytes_utf8": 675, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16789, "cached_input_tokens": 15744, "output_tokens": 545, "reasoning_output_tokens": 378}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0a7629db9d03a00c4ced1adb29c460d21ecc3577 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_2d8473bc6fc066d9", + "api_calls": 0, + "input_tokens": 16789, + "cached_input_tokens": 15744, + "output_tokens": 545, + "total_tokens": 17334, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12832.79, + "sql_execution_elapsed_ms_total": 54.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e2c4f9d1a655644eb444ec6540c4668cf0815f66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:05.604932+00:00", + "ended_at": "2026-05-19T15:52:18.437748+00:00", + "elapsed_ms": 12832.79, + "prompt_metrics": { + "chars": 17461, + "bytes_utf8": 17461, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1046, + "bytes_utf8": 1046, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 675, + "bytes_utf8": 675, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16789, + "cached_input_tokens": 15744, + "output_tokens": 545, + "reasoning_output_tokens": 378 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3537cd24d3f78f612cafbfa9098f8a8b546fe32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=reservation_status, measure_col=company.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "reservation_status", + "measure_col": "company", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 223.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..412f72e623c4ae56741a49f973505e978f9944f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-ebed-77b2-809c-18df384e720f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"reservation_status\\\", SUM(CAST(NULLIF(\\\"company\\\", '') AS REAL)) AS group_value\\n FROM \\\"m12\\\"\\n GROUP BY \\\"reservation_status\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"reservation_status\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"reservation_status\\\" and measure_col=\\\"company\\\". Cast \\\"company\\\" from TEXT to REAL and treated empty strings as NULL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16789,"cached_input_tokens":15744,"output_tokens":545,"reasoning_output_tokens":378}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..76c1dd1594f15c7923191f94c8a873ffbf9e64a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"reservation_status\", SUM(CAST(NULLIF(\"company\", '') AS REAL)) AS group_value\n FROM \"m12\"\n GROUP BY \"reservation_status\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"reservation_status\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the provided template with group_col=\"reservation_status\" and measure_col=\"company\". Cast \"company\" from TEXT to REAL and treated empty strings as NULL for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2d8473bc6fc066d9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a14e34dcafe6291057e4711ea026900d4b239680 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17227, "bytes_utf8": 17227, "lines": 484, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 433, "bytes_utf8": 433, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16750, "cached_input_tokens": 15744, "output_tokens": 343, "reasoning_output_tokens": 226}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fae07571200d232098c8a63ac1e067ee3528b55e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_2e12cf7f942507e1", + "api_calls": 0, + "input_tokens": 16750, + "cached_input_tokens": 15744, + "output_tokens": 343, + "total_tokens": 17093, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13323.47, + "sql_execution_elapsed_ms_total": 27.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..057fc2d8a10bf78e2b14ea575042b92cce371eb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:32.422389+00:00", + "ended_at": "2026-05-19T15:43:45.745887+00:00", + "elapsed_ms": 13323.47, + "prompt_metrics": { + "chars": 17227, + "bytes_utf8": 17227, + "lines": 484, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1137, + "bytes_utf8": 1137, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 433, + "bytes_utf8": 433, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16750, + "cached_input_tokens": 15744, + "output_tokens": 343, + "reasoning_output_tokens": 226 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ada3a0e3055f07a7e0e9c29eb48e4826317be00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,484 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=lead_time, group_col_2=arrival_date_year.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "lead_time", + "group_col_2": "arrival_date_year", + "predicate_col": "reserved_room_type", + "predicate_op": "=", + "predicate_value": "D", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8367f6e5aa73ed4af9e0babf899b64db72cc5718 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e8-1759-7550-8360-1ee6e098b95b"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987862, Requested 17385. Please try again in 157ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"lead_time\\\", \\\"arrival_date_year\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nWHERE \\\"reserved_room_type\\\" = 'D'\\nGROUP BY \\\"lead_time\\\", \\\"arrival_date_year\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with group_col=\\\"lead_time\\\", group_col_2=\\\"arrival_date_year\\\", and predicate reserved_room_type = 'D'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16750,"cached_input_tokens":15744,"output_tokens":343,"reasoning_output_tokens":226}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c61e512db89d6d181598dc615d158df79fd27283 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"lead_time\", \"arrival_date_year\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nWHERE \"reserved_room_type\" = 'D'\nGROUP BY \"lead_time\", \"arrival_date_year\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned filtered two-dimensional group count template with group_col=\"lead_time\", group_col_2=\"arrival_date_year\", and predicate reserved_room_type = 'D'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d6af5d39ee629cee4685ee1069b046d71d6ace66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:35.723260+00:00", + "ended_at": "2026-05-19T16:09:39.044737+00:00", + "elapsed_ms": 3321.45, + "returncode": 1, + "prompt_metrics": { + "chars": 16983, + "bytes_utf8": 16983, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d5cee76ef8053f61bcfc5b194c128c2130a1b293 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:40.046552+00:00", + "ended_at": "2026-05-19T16:09:43.258316+00:00", + "elapsed_ms": 3211.74, + "returncode": 1, + "prompt_metrics": { + "chars": 16983, + "bytes_utf8": 16983, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff54e3ae23c7eccbe06d82c34c0129e670539ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=arrival_date_year, measure_col=adr.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "adr", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 161.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff54e3ae23c7eccbe06d82c34c0129e670539ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=arrival_date_year, measure_col=adr.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "adr", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 161.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1f5bd51e92d01aed2b0f4f0a3d65710eaf9d43b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f1fd-73b2-b48d-71da464fad77"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9634d494b0c15ef5b96ebe483edb71af6052b56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-f1fd-73b2-b48d-71da464fad77"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56e5d2e4131d5f86bf57db16b645f7dedb55d669 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-02ef-7b53-932e-29b004de235d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..db3cb59795924ac4dbaeebe5211a474d6e4e1895 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-02ef-7b53-932e-29b004de235d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6588ac999f3ef2714d85af811135315061b03c91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17058, "bytes_utf8": 17058, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16706, "cached_input_tokens": 15744, "output_tokens": 685, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cd996601f9aae16f539b9c002a4d059152f84112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_342a5340faf768d8", + "api_calls": 0, + "input_tokens": 16706, + "cached_input_tokens": 15744, + "output_tokens": 685, + "total_tokens": 17391, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19892.16, + "sql_execution_elapsed_ms_total": 31.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..261813e49b90160e3ce8e6f76635e8656eae5186 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:50.839410+00:00", + "ended_at": "2026-05-19T15:47:10.731616+00:00", + "elapsed_ms": 19892.16, + "prompt_metrics": { + "chars": 17058, + "bytes_utf8": 17058, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1370, + "bytes_utf8": 1370, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 657, + "bytes_utf8": 657, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16706, + "cached_input_tokens": 15744, + "output_tokens": 685, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..14ba3aed526ad5f22b439aae48684b93211e0072 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=company.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "company", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 223.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c29c7f3ba79c3c61c872d933c5e60a3360921252 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40eb-1ed7-7c43-b0ce-361f4810aca1"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1996790, Requested 17341. Please try again in 423ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(NULLIF(\\\"company\\\", '') AS REAL) AS \\\"company\\\",\\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\\\"company\\\", '') AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(\\\"company\\\", '') IS NOT NULL\\n)\\nSELECT \\\"company\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"company\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template on \\\"company\\\". Because \\\"company\\\" is stored as TEXT and includes empty strings, the query casts non-empty values to REAL so the top decile reflects numeric extremes rather than lexical order or missing values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16706,"cached_input_tokens":15744,"output_tokens":685,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e0630241691a0daca26c2d569876b8afe2391af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(NULLIF(\"company\", '') AS REAL) AS \"company\",\n NTILE(10) OVER (ORDER BY CAST(NULLIF(\"company\", '') AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m12\"\n WHERE NULLIF(\"company\", '') IS NOT NULL\n)\nSELECT \"company\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"company\" DESC;","notes":"Applied the Quantile Tail Slice template on \"company\". Because \"company\" is stored as TEXT and includes empty strings, the query casts non-empty values to REAL so the top decile reflects numeric extremes rather than lexical order or missing values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_342a5340faf768d8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8107149132a077d5952fe224527874c5fb6fad3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17059, "bytes_utf8": 17059, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16693, "cached_input_tokens": 15744, "output_tokens": 589, "reasoning_output_tokens": 424}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..556f387df7b94a0c91539482dadb4782328a2710 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_34ed4737f3a69076", + "api_calls": 0, + "input_tokens": 16693, + "cached_input_tokens": 15744, + "output_tokens": 589, + "total_tokens": 17282, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14415.17, + "sql_execution_elapsed_ms_total": 50.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6f4c9ecc5ee612c9334cff118321eb9ed1a4d5f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:37.365793+00:00", + "ended_at": "2026-05-19T15:57:51.781019+00:00", + "elapsed_ms": 14415.17, + "prompt_metrics": { + "chars": 17059, + "bytes_utf8": 17059, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1001, + "bytes_utf8": 1001, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 638, + "bytes_utf8": 638, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16693, + "cached_input_tokens": 15744, + "output_tokens": 589, + "reasoning_output_tokens": 424 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed4c7f41f96341352d06511bce44378b77b8fbaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=adults, measure_col=adults.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "adults", + "measure_col": "adults", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d083376e2c021383bc5af167864597d1632d08b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-fbea-7b51-862e-3a46b422a10c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"adults\\\",\\n CAST(\\\"adults\\\" AS REAL) AS percentile_measure\\nFROM \\\"m12\\\"\\nWHERE \\\"adults\\\" IS NOT NULL\\n AND \\\"adults\\\" <> ''\\nGROUP BY \\\"adults\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are bound to \\\"adults\\\", every row within a group has the same measure value, so the 0.9 percentile for each group is exactly that group's adults value. The query therefore returns grouped adults values directly, filtered to non-empty values and groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16693,"cached_input_tokens":15744,"output_tokens":589,"reasoning_output_tokens":424}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7704f64ee946bdbbf38bb7766c7dda10f89f274 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"adults\",\n CAST(\"adults\" AS REAL) AS percentile_measure\nFROM \"m12\"\nWHERE \"adults\" IS NOT NULL\n AND \"adults\" <> ''\nGROUP BY \"adults\"\nHAVING COUNT(*) >= 5\nORDER BY percentile_measure DESC;","notes":"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are bound to \"adults\", every row within a group has the same measure value, so the 0.9 percentile for each group is exactly that group's adults value. The query therefore returns grouped adults values directly, filtered to non-empty values and groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_34ed4737f3a69076/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5dd15a0a71f5402eb142fa499b334d6467757afc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16904, "bytes_utf8": 16904, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 356, "bytes_utf8": 356, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16664, "cached_input_tokens": 12032, "output_tokens": 193, "reasoning_output_tokens": 102}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..66d990c3f388c7c4e66d8bbbc08a38a39d97e19c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_3d8ed137d09d203a", + "api_calls": 0, + "input_tokens": 16664, + "cached_input_tokens": 12032, + "output_tokens": 193, + "total_tokens": 16857, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7139.66, + "sql_execution_elapsed_ms_total": 46.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0874b801b701b186a6ad40f6bc9f3f1fe9c058e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:20.780047+00:00", + "ended_at": "2026-05-19T16:06:27.919739+00:00", + "elapsed_ms": 7139.66, + "prompt_metrics": { + "chars": 16904, + "bytes_utf8": 16904, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 705, + "bytes_utf8": 705, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 356, + "bytes_utf8": 356, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16664, + "cached_input_tokens": 12032, + "output_tokens": 193, + "reasoning_output_tokens": 102 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..443f317f065acd1b0bd5ad901509aa1423b5be4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=distribution_channel.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "distribution_channel", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 223.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5314a4dca638b0c9ae2c6cd739897cd28246561 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-f879-74d0-a58b-565b86956144"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"distribution_channel\\\",\\n COUNT(*) AS support\\nFROM \\\"m12\\\"\\nGROUP BY \\\"distribution_channel\\\"\\nORDER BY support ASC, \\\"distribution_channel\\\"\\nLIMIT 17;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to distribution_channel and top_k bound to 17.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16664,"cached_input_tokens":12032,"output_tokens":193,"reasoning_output_tokens":102}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ffecbd0abca3f95b07db6d2922d6da95ddb01c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"distribution_channel\",\n COUNT(*) AS support\nFROM \"m12\"\nGROUP BY \"distribution_channel\"\nORDER BY support ASC, \"distribution_channel\"\nLIMIT 17;","notes":"Applies the Low-Support Group Count template with group_col bound to distribution_channel and top_k bound to 17."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3d8ed137d09d203a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5b44b7394f92aab20e65c42ea90f40349f63f340 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:47.108232+00:00", + "ended_at": "2026-05-19T16:02:50.510060+00:00", + "elapsed_ms": 3401.8, + "returncode": 1, + "prompt_metrics": { + "chars": 17124, + "bytes_utf8": 17124, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d183b29246c8ad423f8eb64ae6384cbc575fdb73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:51.512529+00:00", + "ended_at": "2026-05-19T16:02:55.020756+00:00", + "elapsed_ms": 3508.19, + "returncode": 1, + "prompt_metrics": { + "chars": 17124, + "bytes_utf8": 17124, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b27232d0cd7f916d5d2cac8fc8a37c6f5d58d437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=agent, condition_col=babies.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "agent", + "condition_col": "babies", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b27232d0cd7f916d5d2cac8fc8a37c6f5d58d437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=agent, condition_col=babies.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "agent", + "condition_col": "babies", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..938dac744e3eb82d64505f2a93779c5bbfd521cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-b5d7-78f0-9c43-fd3479931d81"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9722101ca29522bf0f7fdeec8038b8c85aa4db1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-b5d7-78f0-9c43-fd3479931d81"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7f8e125328ea58749041626599446473bb07866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-c71b-7993-a6d7-53afc28f08b6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4155a6ccfe7d296479e30240e6893a35ad5c761 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-c71b-7993-a6d7-53afc28f08b6"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3f8f71ffbe8287ba/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..599d5a84c60210553c9a9f026d6d1df17f463c8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16939, "bytes_utf8": 16939, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 452, "bytes_utf8": 452, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16667, "cached_input_tokens": 12032, "output_tokens": 405, "reasoning_output_tokens": 291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..10f67d6ce6326a37dc75f2c929e23495fc88f7de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_402edf167b8217f8", + "api_calls": 0, + "input_tokens": 16667, + "cached_input_tokens": 12032, + "output_tokens": 405, + "total_tokens": 17072, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14763.07, + "sql_execution_elapsed_ms_total": 82.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..be58439207b3fbfce684d3108a65598748c91033 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:58.274352+00:00", + "ended_at": "2026-05-19T15:30:13.037464+00:00", + "elapsed_ms": 14763.07, + "prompt_metrics": { + "chars": 16939, + "bytes_utf8": 16939, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1139, + "bytes_utf8": 1139, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 452, + "bytes_utf8": 452, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16667, + "cached_input_tokens": 12032, + "output_tokens": 405, + "reasoning_output_tokens": 291 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..292936c2acb81b40c5a234444382d6724b8e91f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=arrival_date_month, measure_col=stays_in_weekend_nights.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "arrival_date_month", + "measure_col": "stays_in_weekend_nights", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..39060d7a5e1e654af353ae954e63b1642d84ff21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40db-aaf5-7be0-ade1-c5d7401b9036"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1988189, Requested 17302. Please try again in 164ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"arrival_date_month\\\", SUM(CAST(NULLIF(\\\"stays_in_weekend_nights\\\", '') AS NUMERIC)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_month\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the provided grouped numeric sum template with \\\"arrival_date_month\\\" as the grouping column and sums \\\"stays_in_weekend_nights\\\" after converting text values to numeric and treating empty strings as NULL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16667,"cached_input_tokens":12032,"output_tokens":405,"reasoning_output_tokens":291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a906deb044591367e9bc4f79c6edfb461e4793ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"arrival_date_month\", SUM(CAST(NULLIF(\"stays_in_weekend_nights\", '') AS NUMERIC)) AS total_measure\nFROM \"m12\"\nGROUP BY \"arrival_date_month\"\nORDER BY total_measure DESC;","notes":"Uses the provided grouped numeric sum template with \"arrival_date_month\" as the grouping column and sums \"stays_in_weekend_nights\" after converting text values to numeric and treating empty strings as NULL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_402edf167b8217f8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..63738172bb096c2bbadb10e91315f801cb63fece --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17322, "bytes_utf8": 17322, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 697, "bytes_utf8": 697, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16776, "cached_input_tokens": 12288, "output_tokens": 703, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3af6f1eeb5741e3b9f7f85164a1ef2f84b45ef02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_412e9773bf999b35", + "api_calls": 0, + "input_tokens": 16776, + "cached_input_tokens": 12288, + "output_tokens": 703, + "total_tokens": 17479, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15042.69, + "sql_execution_elapsed_ms_total": 114.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1c100725e0a8cbaa82514f34c464518f32b8369c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:01.001474+00:00", + "ended_at": "2026-05-19T15:37:16.044206+00:00", + "elapsed_ms": 15042.69, + "prompt_metrics": { + "chars": 17322, + "bytes_utf8": 17322, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1080, + "bytes_utf8": 1080, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 697, + "bytes_utf8": 697, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16776, + "cached_input_tokens": 12288, + "output_tokens": 703, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d7ffedd00233e07e6b540d50bb645e2b8d69847 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"lead_time\",\n \"booking_changes\",\n SUM(CAST(NULLIF(\"arrival_date_year\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"arrival_date_year\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"arrival_date_year\", '') AS REAL))) OVER (PARTITION BY \"lead_time\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"lead_time\", \"booking_changes\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"lead_time\", item_col=\"booking_changes\", and measure_col=\"arrival_date_year\". CAST/NULLIF is used because the schema stores columns as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7f8735a397f81c021c8481b26168358ed397a3ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:00.741294+00:00", + "ended_at": "2026-05-19T16:08:04.147593+00:00", + "elapsed_ms": 3406.27, + "returncode": 1, + "prompt_metrics": { + "chars": 17007, + "bytes_utf8": 17007, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1f8c0b73e4244308def62e5031f0cfe81bc2c560 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:05.150068+00:00", + "ended_at": "2026-05-19T16:08:08.608708+00:00", + "elapsed_ms": 3458.61, + "returncode": 1, + "prompt_metrics": { + "chars": 17007, + "bytes_utf8": 17007, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b565945320158b0fa0f6d647b3c3a2312fd7c6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=required_car_parking_spaces, measure_col=adults.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "required_car_parking_spaces", + "measure_col": "adults", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b565945320158b0fa0f6d647b3c3a2312fd7c6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=required_car_parking_spaces, measure_col=adults.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "required_car_parking_spaces", + "measure_col": "adults", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2532f0b3d66a44d917d488f68e182b7629d60aea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-7ee4-74f1-b0e9-ff7d70beed93"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2bc3e29b6e6f2ee564a23e5500ceb5f621e4eab9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-7ee4-74f1-b0e9-ff7d70beed93"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6a986e481a8c289fb06680ed7dbd84d46f66154 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9024-7841-beda-629c01d42cf2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..56047629fc1c544ad3f40e98f4d5c5c56237b2ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9024-7841-beda-629c01d42cf2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f7a12ccaa23aa49932197b392ee04aaac6ae9ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17230, "bytes_utf8": 17230, "lines": 484, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 428, "bytes_utf8": 428, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16750, "cached_input_tokens": 12032, "output_tokens": 460, "reasoning_output_tokens": 347}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1feea0935de2dad1642fc22f330567d94e52f4ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_4ca2dd165e2ec27b", + "api_calls": 0, + "input_tokens": 16750, + "cached_input_tokens": 12032, + "output_tokens": 460, + "total_tokens": 17210, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10579.07, + "sql_execution_elapsed_ms_total": 22.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..72ab5f2ac6b8b4be350bdcd43b6f1806f90ec741 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:45.783263+00:00", + "ended_at": "2026-05-19T15:43:56.362356+00:00", + "elapsed_ms": 10579.07, + "prompt_metrics": { + "chars": 17230, + "bytes_utf8": 17230, + "lines": 484, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 791, + "bytes_utf8": 791, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 428, + "bytes_utf8": 428, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16750, + "cached_input_tokens": 12032, + "output_tokens": 460, + "reasoning_output_tokens": 347 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..39001a2068e0330a2764537cd27c1b4c581f644f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,484 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=lead_time, group_col_2=arrival_date_month.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "lead_time", + "group_col_2": "arrival_date_month", + "predicate_col": "assigned_room_type", + "predicate_op": "=", + "predicate_value": "E", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 223.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fae6662f587d08a54f0563d3c81f2023e09f56ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-4b6e-7cd1-a657-ec1d3b47e12c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"lead_time\\\", \\\"arrival_date_month\\\", COUNT(*) AS row_count\\nFROM \\\"m12\\\"\\nWHERE \\\"assigned_room_type\\\" = 'E'\\nGROUP BY \\\"lead_time\\\", \\\"arrival_date_month\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with group_col=\\\"lead_time\\\", group_col_2=\\\"arrival_date_month\\\", and predicate assigned_room_type = 'E'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16750,"cached_input_tokens":12032,"output_tokens":460,"reasoning_output_tokens":347}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f921a929232f0da8097ffd2078962ac1001ac3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"lead_time\", \"arrival_date_month\", COUNT(*) AS row_count\nFROM \"m12\"\nWHERE \"assigned_room_type\" = 'E'\nGROUP BY \"lead_time\", \"arrival_date_month\"\nORDER BY row_count DESC;","notes":"Uses the planned filtered two-dimensional group count template with group_col=\"lead_time\", group_col_2=\"arrival_date_month\", and predicate assigned_room_type = 'E'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1fb5f24e4c2cc816db38f7233a33b0ac51fbda0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17376, "bytes_utf8": 17376, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 889, "bytes_utf8": 889, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16787, "cached_input_tokens": 15744, "output_tokens": 1071, "reasoning_output_tokens": 825}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..04ab5cb941acffab51cccc2838348dcbc68993fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_4f47c24e113c8dfa", + "api_calls": 0, + "input_tokens": 16787, + "cached_input_tokens": 15744, + "output_tokens": 1071, + "total_tokens": 17858, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23883.36, + "sql_execution_elapsed_ms_total": 105.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e39f3a0a597760d8c2f98b1ba298e59519b5277d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:14.490841+00:00", + "ended_at": "2026-05-19T15:35:38.374222+00:00", + "elapsed_ms": 23883.36, + "prompt_metrics": { + "chars": 17376, + "bytes_utf8": 17376, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1620, + "bytes_utf8": 1620, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 889, + "bytes_utf8": 889, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16787, + "cached_input_tokens": 15744, + "output_tokens": 1071, + "reasoning_output_tokens": 825 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbe8835a6eea271efb729a7977b4572213f57a21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=total_of_special_requests, measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "total_of_special_requests", + "measure_col": "days_in_waiting_list", + "item_col": "arrival_date_day_of_month", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 78.68, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..43ba0fbca5a213192d3415382d2c5760d358836c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e0-7e3c-7402-8e8b-11a85db810db"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 17422. Please try again in 522ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"total_of_special_requests\\\",\\n \\\"arrival_date_day_of_month\\\",\\n SUM(COALESCE(CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS REAL), 0)) AS \\\"total_measure\\\",\\n SUM(COALESCE(CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS REAL), 0)) * 100.0\\n / SUM(SUM(COALESCE(CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS REAL), 0))) OVER (\\n PARTITION BY \\\"total_of_special_requests\\\"\\n ) AS \\\"share_within_group\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"total_of_special_requests\\\", \\\"arrival_date_day_of_month\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"total_of_special_requests\\\", item_col=\\\"arrival_date_day_of_month\\\", and measure_col=\\\"days_in_waiting_list\\\". Since the schema stores values as TEXT, the measure is cast to REAL and blank strings are treated as 0 for aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16787,"cached_input_tokens":15744,"output_tokens":1071,"reasoning_output_tokens":825}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..91e9c51250550c800b9afec98e80ac572ad563a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"total_of_special_requests\",\n \"arrival_date_day_of_month\",\n SUM(COALESCE(CAST(NULLIF(\"days_in_waiting_list\", '') AS REAL), 0)) AS \"total_measure\",\n SUM(COALESCE(CAST(NULLIF(\"days_in_waiting_list\", '') AS REAL), 0)) * 100.0\n / SUM(SUM(COALESCE(CAST(NULLIF(\"days_in_waiting_list\", '') AS REAL), 0))) OVER (\n PARTITION BY \"total_of_special_requests\"\n ) AS \"share_within_group\"\nFROM \"m12\"\nGROUP BY \"total_of_special_requests\", \"arrival_date_day_of_month\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the requested template with group_col=\"total_of_special_requests\", item_col=\"arrival_date_day_of_month\", and measure_col=\"days_in_waiting_list\". Since the schema stores values as TEXT, the measure is cast to REAL and blank strings are treated as 0 for aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ae674c16517400bf5129f94e452f79fc34cbe3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17057, "bytes_utf8": 17057, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 17057, "bytes_utf8": 17057, "lines": 480, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 913, "bytes_utf8": 913, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16689, "cached_input_tokens": 12032, "output_tokens": 1828, "reasoning_output_tokens": 1552}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..081f4fdfed7f6511495eb6da1a3fe35042356b46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_51c88423be97b312", + "api_calls": 0, + "input_tokens": 16689, + "cached_input_tokens": 12032, + "output_tokens": 1828, + "total_tokens": 18517, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 39346.85, + "sql_execution_elapsed_ms_total": 286.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ac7cadf0760fa27d49a9b8bbb047d2ee607b5e7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:04.051133+00:00", + "ended_at": "2026-05-19T16:00:08.753526+00:00", + "elapsed_ms": 4702.36, + "returncode": 1, + "prompt_metrics": { + "chars": 17057, + "bytes_utf8": 17057, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7aa6bdf7c2da9dad9b3aaa3a4dd19e8fb05249b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:09.755901+00:00", + "ended_at": "2026-05-19T16:00:44.400440+00:00", + "elapsed_ms": 34644.49, + "prompt_metrics": { + "chars": 17057, + "bytes_utf8": 17057, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1356, + "bytes_utf8": 1356, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 913, + "bytes_utf8": 913, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16689, + "cached_input_tokens": 12032, + "output_tokens": 1828, + "reasoning_output_tokens": 1552 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92fd74ef2dba5d9a1383a8ddd69ce7615f0c3c85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=meal, measure_col=agent.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "meal", + "measure_col": "agent", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 136.52, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..92fd74ef2dba5d9a1383a8ddd69ce7615f0c3c85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=meal, measure_col=agent.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "meal", + "measure_col": "agent", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 136.52, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fedd7e3590c0fbdcb9f89012687dc2bd9f6ef34a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-38d0-7893-9a1b-c2ae0d273660"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e707e9abceb7fc88a5756f7c12a824478b5740a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-38d0-7893-9a1b-c2ae0d273660"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e9e38086ddf8e948736f5e0b70e28078d8dc766 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-4f2e-7db2-97af-f209d714c5ac"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"meal\\\",\\n CAST(NULLIF(TRIM(\\\"agent\\\"), '') AS REAL) AS \\\"agent_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"meal\\\"\\n ORDER BY CAST(NULLIF(TRIM(\\\"agent\\\"), '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"meal\\\") AS \\\"cnt\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(TRIM(\\\"agent\\\"), '') IS NOT NULL\\n),\\n\\\"eligible\\\" AS (\\n SELECT *\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"meal\\\",\\n \\\"agent_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"eligible\\\"\\nWHERE \\\"rn\\\" = ((95 * \\\"cnt\\\" + 99) / 100)\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 95th percentile per \\\"meal\\\" with window functions. Blank \\\"agent\\\" values are excluded before casting to REAL, and only groups with at least 5 nonblank rows are kept.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16689,"cached_input_tokens":12032,"output_tokens":1828,"reasoning_output_tokens":1552}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1011f74577f7e0b8775c5bdc5a808725126af0f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"meal\",\n CAST(NULLIF(TRIM(\"agent\"), '') AS REAL) AS \"agent_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"meal\"\n ORDER BY CAST(NULLIF(TRIM(\"agent\"), '') AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"meal\") AS \"cnt\"\n FROM \"m12\"\n WHERE NULLIF(TRIM(\"agent\"), '') IS NOT NULL\n),\n\"eligible\" AS (\n SELECT *\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"meal\",\n \"agent_value\" AS \"percentile_measure\"\nFROM \"eligible\"\nWHERE \"rn\" = ((95 * \"cnt\" + 99) / 100)\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 95th percentile per \"meal\" with window functions. Blank \"agent\" values are excluded before casting to REAL, and only groups with at least 5 nonblank rows are kept."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_51c88423be97b312/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fc6714f4de4a759a6a5b363d0fae64834c72c7e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:44.673787+00:00", + "ended_at": "2026-05-19T16:08:49.260846+00:00", + "elapsed_ms": 4587.02, + "returncode": 1, + "prompt_metrics": { + "chars": 16958, + "bytes_utf8": 16958, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5030495a4b20e2c02d4eb680331840a500782453 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:50.262491+00:00", + "ended_at": "2026-05-19T16:08:54.468695+00:00", + "elapsed_ms": 4206.18, + "returncode": 1, + "prompt_metrics": { + "chars": 16958, + "bytes_utf8": 16958, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d96df7df736fa7ec58558efc245e7a0f58ec1b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=hotel, measure_col=agent.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "hotel", + "measure_col": "agent", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d96df7df736fa7ec58558efc245e7a0f58ec1b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=hotel, measure_col=agent.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "hotel", + "measure_col": "agent", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9ddf29dc84d785e0f5014b2cda3d9f717d70d4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-2a96-7362-9b5d-7cb261993624"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fa7b00061281c2b29167d65e1d6ac20f0dd4b5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-2a96-7362-9b5d-7cb261993624"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6d605767a2b769363ba93a5ac2ed434d78140f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-404b-7532-aed5-bb0b05d2e90d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ab2d218d5de87ff55dde959c6a4a7b5d835fcfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-404b-7532-aed5-bb0b05d2e90d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..552114d3ee33339b07fee7da7aa4517b54fc8ada --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17227, "bytes_utf8": 17227, "lines": 484, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 501, "bytes_utf8": 501, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16759, "cached_input_tokens": 15744, "output_tokens": 559, "reasoning_output_tokens": 421}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..23fb48fdb90ff360225f3c3df46dbef354643efa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_539fbbe29c9bf445", + "api_calls": 0, + "input_tokens": 16759, + "cached_input_tokens": 15744, + "output_tokens": 559, + "total_tokens": 17318, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21795.08, + "sql_execution_elapsed_ms_total": 36.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f4741b0f5c9fd869bc06227cf66ad3fc0b52bbff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:30.577855+00:00", + "ended_at": "2026-05-19T15:44:52.372960+00:00", + "elapsed_ms": 21795.08, + "prompt_metrics": { + "chars": 17227, + "bytes_utf8": 17227, + "lines": 484, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1875, + "bytes_utf8": 1875, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 501, + "bytes_utf8": 501, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16759, + "cached_input_tokens": 15744, + "output_tokens": 559, + "reasoning_output_tokens": 421 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f04bcf5bb754ab34b9d10f7d11a449de25722bfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,484 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=lead_time, group_col_2=stays_in_weekend_nights.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "lead_time", + "group_col_2": "stays_in_weekend_nights", + "predicate_col": "agent", + "predicate_op": ">=", + "predicate_value": 170.0, + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc36eb8400fea89838fa8c12251004aeeff84f09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e8-fa84-7f62-a98f-4804419bb87a"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987648, Requested 17394. Please try again in 151ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1998066, Requested 17394. Please try again in 463ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1986917, Requested 17394. Please try again in 129ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"lead_time\\\", \\\"stays_in_weekend_nights\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nWHERE CAST(\\\"agent\\\" AS REAL) >= 170.0\\nGROUP BY \\\"lead_time\\\", \\\"stays_in_weekend_nights\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with \\\"lead_time\\\" and \\\"stays_in_weekend_nights\\\" as grouping columns, and cast \\\"agent\\\" to REAL because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16759,"cached_input_tokens":15744,"output_tokens":559,"reasoning_output_tokens":421}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bd0702860db220e11f0a58443a3f609ed759d99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"lead_time\", \"stays_in_weekend_nights\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nWHERE CAST(\"agent\" AS REAL) >= 170.0\nGROUP BY \"lead_time\", \"stays_in_weekend_nights\"\nORDER BY \"row_count\" DESC;","notes":"Used the planned filtered two-dimensional group count template with \"lead_time\" and \"stays_in_weekend_nights\" as grouping columns, and cast \"agent\" to REAL because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_539fbbe29c9bf445/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc33d01ee75e9cb31d0b95a554d932c87a11a046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17462, "bytes_utf8": 17462, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 611, "bytes_utf8": 611, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16797, "cached_input_tokens": 15744, "output_tokens": 680, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ffb9c2ce20db3f16536ec4b421853f77c04c93b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_561795d9270b334c", + "api_calls": 0, + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 680, + "total_tokens": 17477, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13287.98, + "sql_execution_elapsed_ms_total": 62.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fef11c9edb00a533058c4becce9bf8e7780c2eac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:36.315630+00:00", + "ended_at": "2026-05-19T15:49:49.603635+00:00", + "elapsed_ms": 13287.98, + "prompt_metrics": { + "chars": 17462, + "bytes_utf8": 17462, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 978, + "bytes_utf8": 978, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 611, + "bytes_utf8": 611, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 680, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6c91ee7551d21c787aeda099f51b68f197828db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=agent, measure_col=stays_in_week_nights.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "agent", + "measure_col": "stays_in_week_nights", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef150fdf678db0a78ed355067b40d3e069f6c9b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-a4ae-7453-9de2-76d7fd12f02e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"agent\\\", SUM(CAST(\\\"stays_in_week_nights\\\" AS REAL)) AS group_value\\n FROM \\\"m12\\\"\\n GROUP BY \\\"agent\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"agent\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Casts \\\"stays_in_week_nights\\\" from TEXT to REAL for SQLite aggregation and follows the provided Relative-to-Total Extreme Threshold template with group_col=\\\"agent\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16797,"cached_input_tokens":15744,"output_tokens":680,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..068340ca45982f3e439029128a5343f301f5aa3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"agent\", SUM(CAST(\"stays_in_week_nights\" AS REAL)) AS group_value\n FROM \"m12\"\n GROUP BY \"agent\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"agent\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Casts \"stays_in_week_nights\" from TEXT to REAL for SQLite aggregation and follows the provided Relative-to-Total Extreme Threshold template with group_col=\"agent\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dcfdae30ba5a5106504f916f92bb88ffc65e17c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16868, "bytes_utf8": 16868, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 305, "bytes_utf8": 305, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16664, "cached_input_tokens": 15744, "output_tokens": 192, "reasoning_output_tokens": 103}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..42d785a4e750efcbdd4651a448c5af7441c0fd03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_5b1429c168033481", + "api_calls": 0, + "input_tokens": 16664, + "cached_input_tokens": 15744, + "output_tokens": 192, + "total_tokens": 16856, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 6988.98, + "sql_execution_elapsed_ms_total": 78.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c2b200fc17cd15f596c25dc609a887792ffcd557 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:37.464520+00:00", + "ended_at": "2026-05-19T16:05:44.453527+00:00", + "elapsed_ms": 6988.98, + "prompt_metrics": { + "chars": 16868, + "bytes_utf8": 16868, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 658, + "bytes_utf8": 658, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 305, + "bytes_utf8": 305, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16664, + "cached_input_tokens": 15744, + "output_tokens": 192, + "reasoning_output_tokens": 103 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa50d6a81b47154236e97a36042e797cbc7cc307 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=meal.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "meal", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..92a7492e65c842124e635a31193755246a0bc544 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-4f50-7af3-b584-b0142e37f10d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"meal\\\",\\n COUNT(*) AS support\\nFROM \\\"m12\\\"\\nGROUP BY \\\"meal\\\"\\nORDER BY support ASC, \\\"meal\\\"\\nLIMIT 10;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col fixed to \\\"meal\\\" and top_k fixed to 10.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16664,"cached_input_tokens":15744,"output_tokens":192,"reasoning_output_tokens":103}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7234d1e27ebcd0adf09ba5aadaeb650632d7bcf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"meal\",\n COUNT(*) AS support\nFROM \"m12\"\nGROUP BY \"meal\"\nORDER BY support ASC, \"meal\"\nLIMIT 10;","notes":"Applied the provided Low-Support Group Count template with group_col fixed to \"meal\" and top_k fixed to 10."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aae6b1b3c9628bdc1602ca2e2f5d2a98e9d7933c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17133, "bytes_utf8": 17133, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 496, "bytes_utf8": 496, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16705, "cached_input_tokens": 12032, "output_tokens": 544, "reasoning_output_tokens": 415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..22f706be45d9d30f9ecb6ebfd55456c0fd01f1af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_5fdcd69fcde55507", + "api_calls": 0, + "input_tokens": 16705, + "cached_input_tokens": 12032, + "output_tokens": 544, + "total_tokens": 17249, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12910.39, + "sql_execution_elapsed_ms_total": 71.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..22b2dd136f86e24778811ec331a42611c1b3a93c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:31.431295+00:00", + "ended_at": "2026-05-19T15:55:44.341717+00:00", + "elapsed_ms": 12910.39, + "prompt_metrics": { + "chars": 17133, + "bytes_utf8": 17133, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 852, + "bytes_utf8": 852, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 496, + "bytes_utf8": 496, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16705, + "cached_input_tokens": 12032, + "output_tokens": 544, + "reasoning_output_tokens": 415 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..618127882f08542757d6e6c1464d74f6a3b8e20a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=arrival_date_day_of_month, measure_col=arrival_date_day_of_month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "arrival_date_day_of_month", + "measure_col": "arrival_date_day_of_month", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 14.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..879e6a36f3921dfda31e687ca0682cc8ba71b614 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-0ff8-77e1-bd8d-5270af477134"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point.\\nSELECT\\n \\\"arrival_date_day_of_month\\\",\\n CAST(\\\"arrival_date_day_of_month\\\" AS REAL) AS \\\"percentile_measure\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_day_of_month\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT. Because the grouped column and measure column are the same field, every row within a group has the same measure value, so the 0.9 percentile for each group is exactly that day-of-month value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16705,"cached_input_tokens":12032,"output_tokens":544,"reasoning_output_tokens":415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6c066f12e719a6ac5fca158541903db34f1508d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point.\nSELECT\n \"arrival_date_day_of_month\",\n CAST(\"arrival_date_day_of_month\" AS REAL) AS \"percentile_measure\"\nFROM \"m12\"\nGROUP BY \"arrival_date_day_of_month\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite has no PERCENTILE_CONT. Because the grouped column and measure column are the same field, every row within a group has the same measure value, so the 0.9 percentile for each group is exactly that day-of-month value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fdcd69fcde55507/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5738feda13ced948b2de504bcf0d924ec81fc57a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17741, "bytes_utf8": 17741, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 807, "bytes_utf8": 807, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16871, "cached_input_tokens": 12032, "output_tokens": 1008, "reasoning_output_tokens": 784}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..93d250292601784cc5fbb8cd6d6f20709b83903f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_62c346aacbf8c4d6", + "api_calls": 0, + "input_tokens": 16871, + "cached_input_tokens": 12032, + "output_tokens": 1008, + "total_tokens": 17879, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17469.58, + "sql_execution_elapsed_ms_total": 71.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..77392cd220be81f1c2ab8961e475a5a75b708907 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:20.319700+00:00", + "ended_at": "2026-05-19T15:42:37.789314+00:00", + "elapsed_ms": 17469.58, + "prompt_metrics": { + "chars": 17741, + "bytes_utf8": 17741, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1207, + "bytes_utf8": 1207, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 807, + "bytes_utf8": 807, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16871, + "cached_input_tokens": 12032, + "output_tokens": 1008, + "reasoning_output_tokens": 784 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fdd44ee61426e032650e222fb94f2792a65123b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=reserved_room_type, condition_col=arrival_date_year.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "reserved_room_type", + "condition_col": "arrival_date_year", + "condition_value": "2016", + "positive_value": "2016", + "negative_value": "2017", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 43.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e859791777cf0b1f268e27df32a9fcad18506e59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-fdba-7270-8ed3-c8f7998c70a0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions.\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"reserved_room_type\\\",\\n SUM(CASE WHEN \\\"arrival_date_year\\\" = '2016' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"arrival_date_year\\\" = '2017' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m12\\\"\\n GROUP BY \\\"reserved_room_type\\\"\\n)\\nSELECT\\n \\\"reserved_room_type\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Computes the 2016-to-2017 booking count ratio for each reserved room type using the planned grouped ratio template. \\\"arrival_date_year\\\" is compared as TEXT, and NULLIF prevents division by zero when a group has no 2017 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16871,"cached_input_tokens":12032,"output_tokens":1008,"reasoning_output_tokens":784}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41f23d1b859638e9a7799bf0e2186f5c1e9d35c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions.\nWITH \"grouped\" AS (\n SELECT\n \"reserved_room_type\",\n SUM(CASE WHEN \"arrival_date_year\" = '2016' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"arrival_date_year\" = '2017' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m12\"\n GROUP BY \"reserved_room_type\"\n)\nSELECT\n \"reserved_room_type\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;","notes":"Computes the 2016-to-2017 booking count ratio for each reserved room type using the planned grouped ratio template. \"arrival_date_year\" is compared as TEXT, and NULLIF prevents division by zero when a group has no 2017 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..23398fbbe2cf6399eef625ee066aaaa79e71209f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16826, "bytes_utf8": 16826, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 326, "bytes_utf8": 326, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16632, "cached_input_tokens": 12032, "output_tokens": 292, "reasoning_output_tokens": 205}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e58fad9a89143330a5388213cd335433f1114b14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_65c2bd9f0f93098e", + "api_calls": 0, + "input_tokens": 16632, + "cached_input_tokens": 12032, + "output_tokens": 292, + "total_tokens": 16924, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23678.63, + "sql_execution_elapsed_ms_total": 62.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..71f4f64b658bb719c47d0b1f03ebe2acd2c47bbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:14.834854+00:00", + "ended_at": "2026-05-19T15:33:38.513519+00:00", + "elapsed_ms": 23678.63, + "prompt_metrics": { + "chars": 16826, + "bytes_utf8": 16826, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1683, + "bytes_utf8": 1683, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 326, + "bytes_utf8": 326, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16632, + "cached_input_tokens": 12032, + "output_tokens": 292, + "reasoning_output_tokens": 205 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dab378b5565eff47475b525f99f1c24cb8296c67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=previous_cancellations.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "previous_cancellations", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 43.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4149437e19e282ae4e24beae8ec8a50cd58273b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40de-aad4-7c90-998b-057ae0ac2d9f"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1992553, Requested 17267. Please try again in 294ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 17267. Please try again in 518ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 17267. Please try again in 518ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"previous_cancellations\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"previous_cancellations\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"previous_cancellations\\\" on the single table \\\"m12\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16632,"cached_input_tokens":12032,"output_tokens":292,"reasoning_output_tokens":205}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..70713c7a50054a8242f35db292a6f84b11b403f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"previous_cancellations\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nGROUP BY \"previous_cancellations\"\nORDER BY \"row_count\" DESC;","notes":"Uses the provided grouped-count template with group_col bound to \"previous_cancellations\" on the single table \"m12\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_65c2bd9f0f93098e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..31bb42259d03e4f4f657196805f2e2bf835de5f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17139, "bytes_utf8": 17139, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 17139, "bytes_utf8": 17139, "lines": 483, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 352, "bytes_utf8": 352, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16715, "cached_input_tokens": 12032, "output_tokens": 350, "reasoning_output_tokens": 256}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..95d1d6c882943abd1de79151077448062e078ef6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_66bc21d785628fa4", + "api_calls": 0, + "input_tokens": 16715, + "cached_input_tokens": 12032, + "output_tokens": 350, + "total_tokens": 17065, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13482.11, + "sql_execution_elapsed_ms_total": 80.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8627ddf07c849ccec4dee312bd93edca82a82ec5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:24.183000+00:00", + "ended_at": "2026-05-19T16:02:27.778285+00:00", + "elapsed_ms": 3595.26, + "returncode": 1, + "prompt_metrics": { + "chars": 17139, + "bytes_utf8": 17139, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..704a18b92f117e83a75c8acf0e8091e665cc530e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:28.781100+00:00", + "ended_at": "2026-05-19T16:02:38.668059+00:00", + "elapsed_ms": 9886.85, + "prompt_metrics": { + "chars": 17139, + "bytes_utf8": 17139, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 699, + "bytes_utf8": 699, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 352, + "bytes_utf8": 352, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16715, + "cached_input_tokens": 12032, + "output_tokens": 350, + "reasoning_output_tokens": 256 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac2e22a12a089c58019ad570e56fdc09e20bd5c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=deposit_type, condition_col=children.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "deposit_type", + "condition_col": "children", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 14.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac2e22a12a089c58019ad570e56fdc09e20bd5c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=deposit_type, condition_col=children.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "deposit_type", + "condition_col": "children", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 14.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2775ec67ccb82f25317d7917e8fdce6ad75348c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-5c59-7ed1-be14-0b9b7b0eb285"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fe715c0279d087077d2e0f394e38be45e4fd1cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-5c59-7ed1-be14-0b9b7b0eb285"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..830e930eec54a0be41a9ef38cdd760a051f7ba9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-6e3c-7dd2-8aa1-eb57b406a8ec"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"deposit_type\\\",\\n AVG(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"deposit_type\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Grouped condition rate by deposit_type, measuring the within-group proportion of rows where children equals '1'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16715,"cached_input_tokens":12032,"output_tokens":350,"reasoning_output_tokens":256}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6ff123bf5bf5f76000a9d02794873937d15c6bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"deposit_type\",\n AVG(CASE WHEN \"children\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m12\"\nGROUP BY \"deposit_type\"\nORDER BY condition_rate DESC;","notes":"Grouped condition rate by deposit_type, measuring the within-group proportion of rows where children equals '1'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_66bc21d785628fa4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..73b245ea53b60ea28a4989a1c14bcbe0444bb26b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17138, "bytes_utf8": 17138, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 17138, "bytes_utf8": 17138, "lines": 480, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 745, "bytes_utf8": 745, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16705, "cached_input_tokens": 15744, "output_tokens": 701, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0347ca1997fd2c2ee8eeb45b9388f30ea82d19ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_676799dfb852b39a", + "api_calls": 0, + "input_tokens": 16705, + "cached_input_tokens": 15744, + "output_tokens": 701, + "total_tokens": 17406, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17140.27, + "sql_execution_elapsed_ms_total": 89.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..464aae92da45e3dab30c693911864e147302efe9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:44.427324+00:00", + "ended_at": "2026-05-19T15:55:47.164612+00:00", + "elapsed_ms": 2737.26, + "returncode": 1, + "prompt_metrics": { + "chars": 17138, + "bytes_utf8": 17138, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..43db06c897981324175eb923611444c85d9602a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:48.167138+00:00", + "ended_at": "2026-05-19T15:56:02.570203+00:00", + "elapsed_ms": 14403.01, + "prompt_metrics": { + "chars": 17138, + "bytes_utf8": 17138, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1119, + "bytes_utf8": 1119, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 745, + "bytes_utf8": 745, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16705, + "cached_input_tokens": 15744, + "output_tokens": 701, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9a2508a44412d86794ebb6ee4bb48da333303c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=arrival_date_day_of_month, measure_col=arrival_date_day_of_month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "arrival_date_day_of_month", + "measure_col": "arrival_date_day_of_month", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 13.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9a2508a44412d86794ebb6ee4bb48da333303c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=arrival_date_day_of_month, measure_col=arrival_date_day_of_month.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "arrival_date_day_of_month", + "measure_col": "arrival_date_day_of_month", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 13.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..83d1b883324d3c2ea4ccd635d87f8f90498ce269 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-42c6-7432-a74d-d9989411d8de"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f0f3ca63cea65468006b72be6a93a31a706c49f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-42c6-7432-a74d-d9989411d8de"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..765acccaa332835c831de6b8757dcd5f676bb7a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-514b-7a81-941c-f7f996d117b3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER) AS \\\"arrival_date_day_of_month\\\",\\n MIN(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) AS \\\"percentile_measure\\\"\\nFROM \\\"m12\\\"\\nWHERE \\\"arrival_date_day_of_month\\\" IS NOT NULL\\n AND TRIM(\\\"arrival_date_day_of_month\\\") <> ''\\nGROUP BY \\\"arrival_date_day_of_month\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both the group and measure are bound to \\\"arrival_date_day_of_month\\\", every row within a group has the same measure value, so the 95th percentile within each group is identical to that day value. MIN(...) is used as a SQLite-compatible equivalent under this binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16705,"cached_input_tokens":15744,"output_tokens":701,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef02644ad968cab911e903d9271f051d4f831f58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n CAST(\"arrival_date_day_of_month\" AS INTEGER) AS \"arrival_date_day_of_month\",\n MIN(CAST(\"arrival_date_day_of_month\" AS INTEGER)) AS \"percentile_measure\"\nFROM \"m12\"\nWHERE \"arrival_date_day_of_month\" IS NOT NULL\n AND TRIM(\"arrival_date_day_of_month\") <> ''\nGROUP BY \"arrival_date_day_of_month\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT. Because both the group and measure are bound to \"arrival_date_day_of_month\", every row within a group has the same measure value, so the 95th percentile within each group is identical to that day value. MIN(...) is used as a SQLite-compatible equivalent under this binding."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20adf5f592d166faaf82a109515ae4e9b0587268 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16937, "bytes_utf8": 16937, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 436, "bytes_utf8": 436, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16667, "cached_input_tokens": 15744, "output_tokens": 315, "reasoning_output_tokens": 200}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..723d1a3c22503edc5e7e44c242a27438ea3920c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_69d5022ed4b3a9e7", + "api_calls": 0, + "input_tokens": 16667, + "cached_input_tokens": 15744, + "output_tokens": 315, + "total_tokens": 16982, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14032.63, + "sql_execution_elapsed_ms_total": 64.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..01e42e7ed331facb9e620a1a26e9d211fdb1b11e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:44.166519+00:00", + "ended_at": "2026-05-19T15:29:58.199182+00:00", + "elapsed_ms": 14032.63, + "prompt_metrics": { + "chars": 16937, + "bytes_utf8": 16937, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1125, + "bytes_utf8": 1125, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 436, + "bytes_utf8": 436, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16667, + "cached_input_tokens": 15744, + "output_tokens": 315, + "reasoning_output_tokens": 200 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5bd9b020573c6cc56d1a4f67ade17a439a3bbe1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=arrival_date_month, measure_col=stays_in_weekend_nights.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "arrival_date_month", + "measure_col": "stays_in_weekend_nights", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa3392ef771a2f841bd4a74147f29a1b0ba42a25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40db-73fb-7d22-902b-195595332ef1"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1997936, Requested 17302. Please try again in 457ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"arrival_date_month\\\",\\n SUM(CAST(\\\"stays_in_weekend_nights\\\" AS INTEGER)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_month\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned Grouped Numeric Sum template with group_col=\\\"arrival_date_month\\\" and measure_col=\\\"stays_in_weekend_nights\\\". Casted the measure from TEXT to INTEGER for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16667,"cached_input_tokens":15744,"output_tokens":315,"reasoning_output_tokens":200}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc1cacdac9255d9397c91c3b25e43e1ba5e6d9bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"arrival_date_month\",\n SUM(CAST(\"stays_in_weekend_nights\" AS INTEGER)) AS total_measure\nFROM \"m12\"\nGROUP BY \"arrival_date_month\"\nORDER BY total_measure DESC;","notes":"Applied the planned Grouped Numeric Sum template with group_col=\"arrival_date_month\" and measure_col=\"stays_in_weekend_nights\". Casted the measure from TEXT to INTEGER for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f4f71d1cd7ea81ba8af4283dd18cf1c18884942 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17336, "bytes_utf8": 17336, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 748, "bytes_utf8": 748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16784, "cached_input_tokens": 12032, "output_tokens": 725, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3e696ff639deb008114b20bdf3f4af1dd2b6cd9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_6bd1caf36b9056e8", + "api_calls": 0, + "input_tokens": 16784, + "cached_input_tokens": 12032, + "output_tokens": 725, + "total_tokens": 17509, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14254.05, + "sql_execution_elapsed_ms_total": 126.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..94650477d72e8687430820eeb8f31fea12bf8a75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:00.147574+00:00", + "ended_at": "2026-05-19T15:40:14.401651+00:00", + "elapsed_ms": 14254.05, + "prompt_metrics": { + "chars": 17336, + "bytes_utf8": 17336, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1134, + "bytes_utf8": 1134, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 748, + "bytes_utf8": 748, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16784, + "cached_input_tokens": 12032, + "output_tokens": 725, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..649cb9ce16fc52a3ba4d6a52dcfe1636511f7ffd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=stays_in_weekend_nights, measure_col=adults.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "stays_in_weekend_nights", + "measure_col": "adults", + "item_col": "reservation_status_date", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1f8ac48c17f00a8a73a7e162233a644ffd3753f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-da3a-7240-9d89-ae14f52b7b5c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"stays_in_weekend_nights\\\",\\n \\\"reservation_status_date\\\",\\n SUM(CAST(NULLIF(\\\"adults\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"adults\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"adults\\\", '') AS REAL))) OVER (PARTITION BY \\\"stays_in_weekend_nights\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"stays_in_weekend_nights\\\", \\\"reservation_status_date\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=\\\"stays_in_weekend_nights\\\", item_col=\\\"reservation_status_date\\\", and measure_col=\\\"adults\\\". Casts \\\"adults\\\" from TEXT to REAL and treats empty strings as NULL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16784,"cached_input_tokens":12032,"output_tokens":725,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d95a7003520ec599671ce0954d43aa34bef80531 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"stays_in_weekend_nights\",\n \"reservation_status_date\",\n SUM(CAST(NULLIF(\"adults\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"adults\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"adults\", '') AS REAL))) OVER (PARTITION BY \"stays_in_weekend_nights\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"stays_in_weekend_nights\", \"reservation_status_date\"\nORDER BY share_within_group DESC;","notes":"Uses the planned Within-Group Share of Total template with group_col=\"stays_in_weekend_nights\", item_col=\"reservation_status_date\", and measure_col=\"adults\". Casts \"adults\" from TEXT to REAL and treats empty strings as NULL for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c9676a68bb4188c2ffb352752587c350d7949883 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16917, "bytes_utf8": 16917, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 415, "bytes_utf8": 415, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16659, "cached_input_tokens": 12032, "output_tokens": 281, "reasoning_output_tokens": 168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..85972a1e0f98ebfaafa6e6cfc7dd16c1f13997d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_6cc5f85dea38f172", + "api_calls": 0, + "input_tokens": 16659, + "cached_input_tokens": 12032, + "output_tokens": 281, + "total_tokens": 16940, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11504.57, + "sql_execution_elapsed_ms_total": 63.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..49c214fc70511a302937e3732dcfbc9234308aab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:44.798333+00:00", + "ended_at": "2026-05-19T15:28:56.302926+00:00", + "elapsed_ms": 11504.57, + "prompt_metrics": { + "chars": 16917, + "bytes_utf8": 16917, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 781, + "bytes_utf8": 781, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 415, + "bytes_utf8": 415, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16659, + "cached_input_tokens": 12032, + "output_tokens": 281, + "reasoning_output_tokens": 168 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffae5190b3ad68a7d1cb65cc7cc493851050d369 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=is_canceled, measure_col=arrival_date_year.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "is_canceled", + "measure_col": "arrival_date_year", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2016.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8919906536dd0243c7c9aa1580a79ec44777bb69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-8c1b-7522-bcd4-d9edfde23b0b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"is_canceled\\\", SUM(CAST(\\\"arrival_date_year\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"is_canceled\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"is_canceled\\\" and measure_col=\\\"arrival_date_year\\\". Casted \\\"arrival_date_year\\\" to NUMERIC because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16659,"cached_input_tokens":12032,"output_tokens":281,"reasoning_output_tokens":168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..af50164b7e64f4b050be0bc69993d73b9d8663c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"is_canceled\", SUM(CAST(\"arrival_date_year\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m12\"\nGROUP BY \"is_canceled\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the provided Grouped Numeric Sum template with group_col=\"is_canceled\" and measure_col=\"arrival_date_year\". Casted \"arrival_date_year\" to NUMERIC because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c2ff0823968d81a25b41486136c0256c95ee8b37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:41.575857+00:00", + "ended_at": "2026-05-19T16:04:44.725503+00:00", + "elapsed_ms": 3149.62, + "returncode": 1, + "prompt_metrics": { + "chars": 16857, + "bytes_utf8": 16857, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a73c1f66e481b2f3cbd56ef3b015c57c8b0ebff6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:45.727664+00:00", + "ended_at": "2026-05-19T16:04:48.721669+00:00", + "elapsed_ms": 2993.97, + "returncode": 1, + "prompt_metrics": { + "chars": 16857, + "bytes_utf8": 16857, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e584261f1cb8aba13703b30515d43fe42ffdbf6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=total_of_special_requests.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "total_of_special_requests", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e584261f1cb8aba13703b30515d43fe42ffdbf6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=total_of_special_requests.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "total_of_special_requests", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..38bb8029ea9eb79feea7580d4a49489c4fa2bfbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7513-7300-8936-abcc0ae88920"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cd897c89053b09a588996cac132696482ee8144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-7513-7300-8936-abcc0ae88920"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcdcc42d331c1765cfec626202b03ffb2d8259e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-850a-70d2-aeae-ba83e82d1ba0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcd9c3478e8396205f1344be91a9c1412af0fb98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-850a-70d2-aeae-ba83e82d1ba0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6dc8f489bcd132e4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..96bb9709457840655f20cda60fb1e4816876715c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17369, "bytes_utf8": 17369, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 882, "bytes_utf8": 882, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16786, "cached_input_tokens": 15744, "output_tokens": 753, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ed98b4b5cc933bd87a741aac05fd0861b58a4b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_70e3793a92badea3", + "api_calls": 0, + "input_tokens": 16786, + "cached_input_tokens": 15744, + "output_tokens": 753, + "total_tokens": 17539, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14450.52, + "sql_execution_elapsed_ms_total": 107.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..acc630808b0b5cc0d6bcd7e23a581fb651384c79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:59.921561+00:00", + "ended_at": "2026-05-19T15:35:14.372109+00:00", + "elapsed_ms": 14450.52, + "prompt_metrics": { + "chars": 17369, + "bytes_utf8": 17369, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1263, + "bytes_utf8": 1263, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 882, + "bytes_utf8": 882, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16786, + "cached_input_tokens": 15744, + "output_tokens": 753, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bfec47a783195f36fa8b854d977f347af1b16155 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=total_of_special_requests, measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "total_of_special_requests", + "measure_col": "days_in_waiting_list", + "item_col": "arrival_date_day_of_month", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 101.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..11c8d59ea44960f6d2a75c5f039af36adc73e089 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-454a-7a03-8048-8648bc9dc3b8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"total_of_special_requests\\\", \\\"arrival_date_day_of_month\\\",\\n SUM(CAST(COALESCE(NULLIF(\\\"days_in_waiting_list\\\", ''), '0') AS REAL)) AS total_measure,\\n SUM(CAST(COALESCE(NULLIF(\\\"days_in_waiting_list\\\", ''), '0') AS REAL)) * 100.0\\n / SUM(SUM(CAST(COALESCE(NULLIF(\\\"days_in_waiting_list\\\", ''), '0') AS REAL))) OVER (PARTITION BY \\\"total_of_special_requests\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"total_of_special_requests\\\", \\\"arrival_date_day_of_month\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=\\\"total_of_special_requests\\\", item_col=\\\"arrival_date_day_of_month\\\", and measure_col=\\\"days_in_waiting_list\\\". The measure is cast from TEXT to REAL and empty strings are treated as 0 for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16786,"cached_input_tokens":15744,"output_tokens":753,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc46fe53b2dec870aacbb9787dcceed4428b9990 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"total_of_special_requests\", \"arrival_date_day_of_month\",\n SUM(CAST(COALESCE(NULLIF(\"days_in_waiting_list\", ''), '0') AS REAL)) AS total_measure,\n SUM(CAST(COALESCE(NULLIF(\"days_in_waiting_list\", ''), '0') AS REAL)) * 100.0\n / SUM(SUM(CAST(COALESCE(NULLIF(\"days_in_waiting_list\", ''), '0') AS REAL))) OVER (PARTITION BY \"total_of_special_requests\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"total_of_special_requests\", \"arrival_date_day_of_month\"\nORDER BY share_within_group DESC;","notes":"Uses the planned Within-Group Share of Total template with group_col=\"total_of_special_requests\", item_col=\"arrival_date_day_of_month\", and measure_col=\"days_in_waiting_list\". The measure is cast from TEXT to REAL and empty strings are treated as 0 for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7746b4b6f70119710c7adc56b69b429e1c0a33e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16897, "bytes_utf8": 16897, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 16897, "bytes_utf8": 16897, "lines": 478, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 361, "bytes_utf8": 361, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16668, "cached_input_tokens": 12032, "output_tokens": 280, "reasoning_output_tokens": 181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e56012009708073b3d05bd11c45745d280a40445 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_7262d0a8d2345d9d", + "api_calls": 0, + "input_tokens": 16668, + "cached_input_tokens": 12032, + "output_tokens": 280, + "total_tokens": 16948, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11275.2, + "sql_execution_elapsed_ms_total": 59.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dcc5b010aa41fd9c2fca581473bae5c1ac62f19d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:25.286722+00:00", + "ended_at": "2026-05-19T16:07:28.469875+00:00", + "elapsed_ms": 3183.13, + "returncode": 1, + "prompt_metrics": { + "chars": 16897, + "bytes_utf8": 16897, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7ef42ef0ccd162b1066a038d47872b196314d5dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:29.471601+00:00", + "ended_at": "2026-05-19T16:07:37.563708+00:00", + "elapsed_ms": 8092.07, + "prompt_metrics": { + "chars": 16897, + "bytes_utf8": 16897, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 718, + "bytes_utf8": 718, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 361, + "bytes_utf8": 361, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16668, + "cached_input_tokens": 12032, + "output_tokens": 280, + "reasoning_output_tokens": 181 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..85bb8fe992a3ee1d0f6d7137834557701fb4d78c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=assigned_room_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "assigned_room_type", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..85bb8fe992a3ee1d0f6d7137834557701fb4d78c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=assigned_room_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "assigned_room_type", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..51aeeef00f4862c541f199e053adb12d3dd4b67f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-f456-7032-9a60-42b837c95067"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f55552def0c3c9c8b8bad40630ceca3ac65166d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-f456-7032-9a60-42b837c95067"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c71ffedad70e9b18b38ed8dd2d1c6e4191319cb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-04bf-7582-bf69-2f5c679d5b70"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"assigned_room_type\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"assigned_room_type\\\"\\nORDER BY \\\"support\\\" ASC, \\\"assigned_room_type\\\"\\nLIMIT 11;\",\"notes\":\"Uses the requested Low-Support Group Count template with group_col bound to assigned_room_type and top_k set to 11.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16668,"cached_input_tokens":12032,"output_tokens":280,"reasoning_output_tokens":181}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..32dd127a385648d972481ba9ffbc050c38e658f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"assigned_room_type\",\n COUNT(*) AS \"support\"\nFROM \"m12\"\nGROUP BY \"assigned_room_type\"\nORDER BY \"support\" ASC, \"assigned_room_type\"\nLIMIT 11;","notes":"Uses the requested Low-Support Group Count template with group_col bound to assigned_room_type and top_k set to 11."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7262d0a8d2345d9d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5432ce0ced5bedeb2ee38ec4fd9c1bdbbcde9fd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17200, "bytes_utf8": 17200, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 443, "bytes_utf8": 443, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16722, "cached_input_tokens": 12032, "output_tokens": 302, "reasoning_output_tokens": 193}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4a06326041fb8daabdc2937d71872a7936d9e364 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_73af2ff87a5ac26b", + "api_calls": 0, + "input_tokens": 16722, + "cached_input_tokens": 12032, + "output_tokens": 302, + "total_tokens": 17024, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8087.68, + "sql_execution_elapsed_ms_total": 59.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e861413b9e80ada1dd407950063c29f6d57e7c76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:07.765396+00:00", + "ended_at": "2026-05-19T16:01:15.853110+00:00", + "elapsed_ms": 8087.68, + "prompt_metrics": { + "chars": 17200, + "bytes_utf8": 17200, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 798, + "bytes_utf8": 798, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 443, + "bytes_utf8": 443, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16722, + "cached_input_tokens": 12032, + "output_tokens": 302, + "reasoning_output_tokens": 193 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2eb582f30c617220dd85c6c324a3427d5810596c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=previous_cancellations, condition_col=reservation_status.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "previous_cancellations", + "condition_col": "reservation_status", + "condition_value": "Canceled", + "positive_value": "Check-Out", + "negative_value": "Canceled", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cedc1b4ad833bcd437bfae8474372c909870136 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-31c0-7650-8c3d-99d4720ed9ad"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"previous_cancellations\\\",\\n AVG(CASE WHEN \\\"reservation_status\\\" = 'Canceled' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"previous_cancellations\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Instantiated the Grouped Condition Rate template with group_col=\\\"previous_cancellations\\\" and condition_col=\\\"reservation_status\\\", using condition_value='Canceled'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16722,"cached_input_tokens":12032,"output_tokens":302,"reasoning_output_tokens":193}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..61aa32ca4fababce72fab13db17bca001ac178dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"previous_cancellations\",\n AVG(CASE WHEN \"reservation_status\" = 'Canceled' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m12\"\nGROUP BY \"previous_cancellations\"\nORDER BY condition_rate DESC;","notes":"Instantiated the Grouped Condition Rate template with group_col=\"previous_cancellations\" and condition_col=\"reservation_status\", using condition_value='Canceled'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1b92af5941798219a0e4ef0f2afa51106fe69155 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17087, "bytes_utf8": 17087, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1826, "bytes_utf8": 1826, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16695, "cached_input_tokens": 12032, "output_tokens": 4020, "reasoning_output_tokens": 3414}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a9bd3d1924e1f2b8daed67e8e4966c799aa9879f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_76416ebca2b8b850", + "api_calls": 0, + "input_tokens": 16695, + "cached_input_tokens": 12032, + "output_tokens": 4020, + "total_tokens": 20715, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 51764.97, + "sql_execution_elapsed_ms_total": 758.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5704d36a8ad5a52cc90cdc0e5a695ec827ba37af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:14.773704+00:00", + "ended_at": "2026-05-19T15:54:06.538707+00:00", + "elapsed_ms": 51764.97, + "prompt_metrics": { + "chars": 17087, + "bytes_utf8": 17087, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2398, + "bytes_utf8": 2398, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1826, + "bytes_utf8": 1826, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16695, + "cached_input_tokens": 12032, + "output_tokens": 4020, + "reasoning_output_tokens": 3414 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5842f9ac94ca9599fc032326d302d83d6e18d8d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=arrival_date_year, measure_col=lead_time.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "lead_time", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 42.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c6426a5d0ecc00af58921e597c32e2f2ff1e1f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-fa3b-73a2-841e-fd0391334782"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"arrival_date_year\\\",\\n CAST(\\\"lead_time\\\" AS REAL) AS \\\"lead_time_num\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"arrival_date_year\\\"\\n ORDER BY CAST(\\\"lead_time\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"arrival_date_year\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"arrival_date_year\\\" IS NOT NULL\\n AND \\\"arrival_date_year\\\" <> ''\\n AND \\\"lead_time\\\" IS NOT NULL\\n AND \\\"lead_time\\\" <> ''\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"arrival_date_year\\\",\\n ROUND((0.9 * (\\\"cnt\\\" - 1)) + 1.0, 10) AS \\\"pos\\\",\\n CAST(ROUND((0.9 * (\\\"cnt\\\" - 1)) + 1.0, 10) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(ROUND((0.9 * (\\\"cnt\\\" - 1)) + 1.0, 10) AS INTEGER) +\\n CASE\\n WHEN ABS(ROUND((0.9 * (\\\"cnt\\\" - 1)) + 1.0, 10) - CAST(ROUND((0.9 * (\\\"cnt\\\" - 1)) + 1.0, 10) AS INTEGER)) < 1e-10 THEN 0\\n ELSE 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n p.\\\"arrival_date_year\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN l.\\\"lead_time_num\\\"\\n ELSE l.\\\"lead_time_num\\\" + ((p.\\\"pos\\\" - p.\\\"lower_rn\\\") * (u.\\\"lead_time_num\\\" - l.\\\"lead_time_num\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"params\\\" AS p\\nJOIN \\\"ordered\\\" AS l\\n ON l.\\\"arrival_date_year\\\" = p.\\\"arrival_date_year\\\"\\n AND l.\\\"rn\\\" = p.\\\"lower_rn\\\"\\nJOIN \\\"ordered\\\" AS u\\n ON u.\\\"arrival_date_year\\\" = p.\\\"arrival_date_year\\\"\\n AND u.\\\"rn\\\" = p.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 90th percentile for \\\"lead_time\\\" within each \\\"arrival_date_year\\\" using windowed ordering and linear interpolation; blank values are excluded and groups must have at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16695,"cached_input_tokens":12032,"output_tokens":4020,"reasoning_output_tokens":3414}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1cdff2f5372c684f46e37fca009b39892a97a83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"arrival_date_year\",\n CAST(\"lead_time\" AS REAL) AS \"lead_time_num\",\n ROW_NUMBER() OVER (\n PARTITION BY \"arrival_date_year\"\n ORDER BY CAST(\"lead_time\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"arrival_date_year\"\n ) AS \"cnt\"\n FROM \"m12\"\n WHERE \"arrival_date_year\" IS NOT NULL\n AND \"arrival_date_year\" <> ''\n AND \"lead_time\" IS NOT NULL\n AND \"lead_time\" <> ''\n),\n\"params\" AS (\n SELECT DISTINCT\n \"arrival_date_year\",\n ROUND((0.9 * (\"cnt\" - 1)) + 1.0, 10) AS \"pos\",\n CAST(ROUND((0.9 * (\"cnt\" - 1)) + 1.0, 10) AS INTEGER) AS \"lower_rn\",\n CAST(ROUND((0.9 * (\"cnt\" - 1)) + 1.0, 10) AS INTEGER) +\n CASE\n WHEN ABS(ROUND((0.9 * (\"cnt\" - 1)) + 1.0, 10) - CAST(ROUND((0.9 * (\"cnt\" - 1)) + 1.0, 10) AS INTEGER)) < 1e-10 THEN 0\n ELSE 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n p.\"arrival_date_year\",\n CASE\n WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN l.\"lead_time_num\"\n ELSE l.\"lead_time_num\" + ((p.\"pos\" - p.\"lower_rn\") * (u.\"lead_time_num\" - l.\"lead_time_num\"))\n END AS \"percentile_measure\"\nFROM \"params\" AS p\nJOIN \"ordered\" AS l\n ON l.\"arrival_date_year\" = p.\"arrival_date_year\"\n AND l.\"rn\" = p.\"lower_rn\"\nJOIN \"ordered\" AS u\n ON u.\"arrival_date_year\" = p.\"arrival_date_year\"\n AND u.\"rn\" = p.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 90th percentile for \"lead_time\" within each \"arrival_date_year\" using windowed ordering and linear interpolation; blank values are excluded and groups must have at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..49ae6af2d3911b97721a00f063bbec681f233169 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16899, "bytes_utf8": 16899, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 390, "bytes_utf8": 390, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16666, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bb4e2df87627694d91cd9f045a2ecaa79c6badd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_76cfebaf7a68b3f5", + "api_calls": 0, + "input_tokens": 16666, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 17014, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8972.01, + "sql_execution_elapsed_ms_total": 75.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6b5e0a071a2c917825631b170eb1b0299114ac77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:37.636865+00:00", + "ended_at": "2026-05-19T16:07:46.608913+00:00", + "elapsed_ms": 8972.01, + "prompt_metrics": { + "chars": 16899, + "bytes_utf8": 16899, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 751, + "bytes_utf8": 751, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 390, + "bytes_utf8": 390, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16666, + "cached_input_tokens": 12032, + "output_tokens": 348, + "reasoning_output_tokens": 245 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a54dfee765162ddca1f87883e059ba9f15d69006 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=assigned_room_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "assigned_room_type", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..08ce686cea5604a3dcbff513d5fd4f87be95ed7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-24ab-7b81-97ee-d7b714ee0da9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"assigned_room_type\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"assigned_room_type\\\"\\nORDER BY \\\"support\\\" ASC, \\\"assigned_room_type\\\"\\nLIMIT 16;\",\"notes\":\"Applies the Low-Support Group Count template to \\\"assigned_room_type\\\", counting rows per group and returning the 16 least-supported room types.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16666,"cached_input_tokens":12032,"output_tokens":348,"reasoning_output_tokens":245}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e874112bc93b681cbc64064bc6bfaec7772af651 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"assigned_room_type\",\n COUNT(*) AS \"support\"\nFROM \"m12\"\nGROUP BY \"assigned_room_type\"\nORDER BY \"support\" ASC, \"assigned_room_type\"\nLIMIT 16;","notes":"Applies the Low-Support Group Count template to \"assigned_room_type\", counting rows per group and returning the 16 least-supported room types."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76cfebaf7a68b3f5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4b62e36e89d4fb52581a17774343e78b0dff1520 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17729, "bytes_utf8": 17729, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 781, "bytes_utf8": 781, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16870, "cached_input_tokens": 12032, "output_tokens": 554, "reasoning_output_tokens": 349}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0da62a94ac6adb7a0c9bf6a043479836f51ab460 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_7b23ee0288ec038e", + "api_calls": 0, + "input_tokens": 16870, + "cached_input_tokens": 12032, + "output_tokens": 554, + "total_tokens": 17424, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15234.93, + "sql_execution_elapsed_ms_total": 72.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..97d606a67ac0ea063229df0020c976eca0373bd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:04.998270+00:00", + "ended_at": "2026-05-19T15:42:20.233231+00:00", + "elapsed_ms": 15234.93, + "prompt_metrics": { + "chars": 17729, + "bytes_utf8": 17729, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1152, + "bytes_utf8": 1152, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 781, + "bytes_utf8": 781, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16870, + "cached_input_tokens": 12032, + "output_tokens": 554, + "reasoning_output_tokens": 349 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..64eaf130595c5924949974728fca9fbcab77d4ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=previous_cancellations, condition_col=is_canceled.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "previous_cancellations", + "condition_col": "is_canceled", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2016.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9f1e91b717915059c000448168f0a6a1ba8f072 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-c1d0-7d93-b53a-51774bf520b3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"previous_cancellations\\\",\\n SUM(CASE WHEN \\\"is_canceled\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"is_canceled\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m12\\\"\\n GROUP BY \\\"previous_cancellations\\\"\\n)\\nSELECT\\n \\\"previous_cancellations\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the requested grouped ratio template with group_col=\\\"previous_cancellations\\\" and condition_col=\\\"is_canceled\\\". Because the SQLite schema stores these fields as TEXT, the condition values are compared as string literals '0' and '1'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16870,"cached_input_tokens":12032,"output_tokens":554,"reasoning_output_tokens":349}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9e50f57a5ddb484f7517cf15ea2c92b1eec620f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"previous_cancellations\",\n SUM(CASE WHEN \"is_canceled\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"is_canceled\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m12\"\n GROUP BY \"previous_cancellations\"\n)\nSELECT\n \"previous_cancellations\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the requested grouped ratio template with group_col=\"previous_cancellations\" and condition_col=\"is_canceled\". Because the SQLite schema stores these fields as TEXT, the condition values are compared as string literals '0' and '1'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b23ee0288ec038e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ccea61b1a5f2225e500077513955d6fc16f4d5de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17225, "bytes_utf8": 17225, "lines": 484, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 552, "bytes_utf8": 552, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16757, "cached_input_tokens": 15744, "output_tokens": 659, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b7d3ff5abbd225d3cf7becde4b53f0a3db04f1eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_7b44ae5134a33318", + "api_calls": 0, + "input_tokens": 16757, + "cached_input_tokens": 15744, + "output_tokens": 659, + "total_tokens": 17416, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13693.53, + "sql_execution_elapsed_ms_total": 31.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6cadfeceee6ef61e61f8032bad67c66e534f6a6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:52.419617+00:00", + "ended_at": "2026-05-19T15:45:06.113177+00:00", + "elapsed_ms": 13693.53, + "prompt_metrics": { + "chars": 17225, + "bytes_utf8": 17225, + "lines": 484, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 915, + "bytes_utf8": 915, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 552, + "bytes_utf8": 552, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16757, + "cached_input_tokens": 15744, + "output_tokens": 659, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d39ebb330bb82290d6589a5558d4500f5edbbc24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,484 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=lead_time, group_col_2=stays_in_week_nights.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "lead_time", + "group_col_2": "stays_in_week_nights", + "predicate_col": "company", + "predicate_op": ">=", + "predicate_value": 223.0, + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..789c479827129041c2edfefcfaf0e4a452355dfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-4fcd-7451-87e7-54cfc9ee84ef"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"lead_time\\\", \\\"stays_in_week_nights\\\", COUNT(*) AS row_count\\nFROM \\\"m12\\\"\\nWHERE CAST(NULLIF(\\\"company\\\", '') AS REAL) >= 223.0\\nGROUP BY \\\"lead_time\\\", \\\"stays_in_week_nights\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with bound roles lead_time, stays_in_week_nights, and company. Applied CAST(NULLIF(\\\"company\\\", '') AS REAL) because the schema snapshot shows \\\"company\\\" stored as TEXT while the predicate value is numeric.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16757,"cached_input_tokens":15744,"output_tokens":659,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0915c0e1f2d4dd622b13b058f067052e32aa0458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"lead_time\", \"stays_in_week_nights\", COUNT(*) AS row_count\nFROM \"m12\"\nWHERE CAST(NULLIF(\"company\", '') AS REAL) >= 223.0\nGROUP BY \"lead_time\", \"stays_in_week_nights\"\nORDER BY row_count DESC;","notes":"Used the planned filtered two-dimensional group count template with bound roles lead_time, stays_in_week_nights, and company. Applied CAST(NULLIF(\"company\", '') AS REAL) because the schema snapshot shows \"company\" stored as TEXT while the predicate value is numeric."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a6729b23a6df440f1318ac20a16b8c9bfcd7597b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17058, "bytes_utf8": 17058, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 17058, "bytes_utf8": 17058, "lines": 480, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1211, "bytes_utf8": 1211, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16693, "cached_input_tokens": 12032, "output_tokens": 882, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f47ac3314887746e98ceeb155ffa27918eae217b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_801193b78174c62c", + "api_calls": 0, + "input_tokens": 16693, + "cached_input_tokens": 12032, + "output_tokens": 882, + "total_tokens": 17575, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19472.91, + "sql_execution_elapsed_ms_total": 322.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..06e48f2f991f46fd6221a0ccfdfe46bfb500bd65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:16.552828+00:00", + "ended_at": "2026-05-19T15:57:20.529428+00:00", + "elapsed_ms": 3976.57, + "returncode": 1, + "prompt_metrics": { + "chars": 17058, + "bytes_utf8": 17058, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a894d574cc53a5081717e68b6cace9b9999b4202 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:21.532378+00:00", + "ended_at": "2026-05-19T15:57:37.028772+00:00", + "elapsed_ms": 15496.34, + "prompt_metrics": { + "chars": 17058, + "bytes_utf8": 17058, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1702, + "bytes_utf8": 1702, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1211, + "bytes_utf8": 1211, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16693, + "cached_input_tokens": 12032, + "output_tokens": 882, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2497089f44496f4c3dc7a4e20079449abb2ef5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=adults, measure_col=adults.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "adults", + "measure_col": "adults", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2497089f44496f4c3dc7a4e20079449abb2ef5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=adults, measure_col=adults.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "adults", + "measure_col": "adults", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2063dbfb9e6903addbbd05af979bdfd4453d517d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-aa94-7e43-8101-307d500cae93"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b971c7cf5e764cf5b4e9eaa2d060d6f8621da00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-aa94-7e43-8101-307d500cae93"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..29359111322de22f66976343f42e33e723a1c3d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-be0d-7800-a6b0-6eeb36872ce5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(\\\"adults\\\" AS REAL) AS \\\"adults_group\\\",\\n CAST(\\\"adults\\\" AS REAL) AS \\\"adults_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"adults\\\" AS REAL)\\n ORDER BY CAST(\\\"adults\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"adults\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(\\\"adults\\\", '') IS NOT NULL\\n),\\n\\\"percentile_pick\\\" AS (\\n SELECT\\n \\\"adults_group\\\",\\n \\\"adults_measure\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST((0.95 * \\\"cnt\\\") + 0.999999999 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"adults_group\\\" AS \\\"adults\\\",\\n \\\"adults_measure\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_pick\\\"\\nWHERE \\\"rn\\\" = CASE\\n WHEN \\\"target_rn\\\" < 1 THEN 1\\n WHEN \\\"target_rn\\\" > \\\"cnt\\\" THEN \\\"cnt\\\"\\n ELSE \\\"target_rn\\\"\\nEND\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile emulation with window functions. Because both group_col and measure_col are \\\"adults\\\", each group's percentile value will match that group's numeric adults value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16693,"cached_input_tokens":12032,"output_tokens":882,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee00279be1958e7df5ff6135128ff06abc282353 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n CAST(\"adults\" AS REAL) AS \"adults_group\",\n CAST(\"adults\" AS REAL) AS \"adults_measure\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"adults\" AS REAL)\n ORDER BY CAST(\"adults\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"adults\" AS REAL)\n ) AS \"cnt\"\n FROM \"m12\"\n WHERE NULLIF(\"adults\", '') IS NOT NULL\n),\n\"percentile_pick\" AS (\n SELECT\n \"adults_group\",\n \"adults_measure\",\n \"rn\",\n \"cnt\",\n CAST((0.95 * \"cnt\") + 0.999999999 AS INTEGER) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"adults_group\" AS \"adults\",\n \"adults_measure\" AS \"percentile_measure\"\nFROM \"percentile_pick\"\nWHERE \"rn\" = CASE\n WHEN \"target_rn\" < 1 THEN 1\n WHEN \"target_rn\" > \"cnt\" THEN \"cnt\"\n ELSE \"target_rn\"\nEND\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile emulation with window functions. Because both group_col and measure_col are \"adults\", each group's percentile value will match that group's numeric adults value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cdbe890b3dcb579174caeb30914c7459a991abd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16906, "bytes_utf8": 16906, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 368, "bytes_utf8": 368, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16670, "cached_input_tokens": 12032, "output_tokens": 302, "reasoning_output_tokens": 201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..963f59ddc55bbb8b65f3d05aa3d45252d028e38c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_84c02fd074380018", + "api_calls": 0, + "input_tokens": 16670, + "cached_input_tokens": 12032, + "output_tokens": 302, + "total_tokens": 16972, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8137.74, + "sql_execution_elapsed_ms_total": 45.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4ebcc50089807d0c87f0b04cf348b0a00cfcb838 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:49.291108+00:00", + "ended_at": "2026-05-19T16:06:57.428872+00:00", + "elapsed_ms": 8137.74, + "prompt_metrics": { + "chars": 16906, + "bytes_utf8": 16906, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 729, + "bytes_utf8": 729, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 368, + "bytes_utf8": 368, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16670, + "cached_input_tokens": 12032, + "output_tokens": 302, + "reasoning_output_tokens": 201 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ed4a7da46d2aba7063815f18ef892cf3a33a976 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=previous_cancellations.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "previous_cancellations", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 161.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b34f20df5ccd8cf43d4fb27bb4f14dee3eadbcce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-67eb-7f20-ac5a-a55bc2b0f811"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"previous_cancellations\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"previous_cancellations\\\"\\nORDER BY \\\"support\\\" ASC, \\\"previous_cancellations\\\"\\nLIMIT 14;\",\"notes\":\"Applied the provided Low-Support Group Count template using group_col=\\\"previous_cancellations\\\" and top_k=14.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16670,"cached_input_tokens":12032,"output_tokens":302,"reasoning_output_tokens":201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..15b699c92235a9867ca97ade939b77a56c260665 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"previous_cancellations\",\n COUNT(*) AS \"support\"\nFROM \"m12\"\nGROUP BY \"previous_cancellations\"\nORDER BY \"support\" ASC, \"previous_cancellations\"\nLIMIT 14;","notes":"Applied the provided Low-Support Group Count template using group_col=\"previous_cancellations\" and top_k=14."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a59fd11a637b757e60b2dd240de972624d9739c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17338, "bytes_utf8": 17338, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 726, "bytes_utf8": 726, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16785, "cached_input_tokens": 12032, "output_tokens": 723, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..269d172c879c87974c9833fca67646fa81a42333 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_852e3ba8f5faf413", + "api_calls": 0, + "input_tokens": 16785, + "cached_input_tokens": 12032, + "output_tokens": 723, + "total_tokens": 17508, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15659.11, + "sql_execution_elapsed_ms_total": 111.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..051a24314fb258f8c64c53d04821fb2dba628d89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:44.364722+00:00", + "ended_at": "2026-05-19T15:40:00.023856+00:00", + "elapsed_ms": 15659.11, + "prompt_metrics": { + "chars": 17338, + "bytes_utf8": 17338, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1113, + "bytes_utf8": 1113, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 726, + "bytes_utf8": 726, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16785, + "cached_input_tokens": 12032, + "output_tokens": 723, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d32ab2be36a98871cd9f27199aef1da8063ea7e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=stays_in_weekend_nights, measure_col=adults.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "stays_in_weekend_nights", + "measure_col": "adults", + "item_col": "reservation_status_date", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed0404054f2768f446aa76d94a5174577e38adaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-9c6e-7623-8303-a3b8a2c9c20a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"stays_in_weekend_nights\\\",\\n \\\"reservation_status_date\\\",\\n SUM(CAST(NULLIF(\\\"adults\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"adults\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"adults\\\", '') AS REAL))) OVER (PARTITION BY \\\"stays_in_weekend_nights\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"stays_in_weekend_nights\\\", \\\"reservation_status_date\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"stays_in_weekend_nights\\\", item_col=\\\"reservation_status_date\\\", and measure_col=\\\"adults\\\". \\\"adults\\\" is cast from TEXT to REAL, with empty strings treated as NULL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16785,"cached_input_tokens":12032,"output_tokens":723,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..237812ffa4fe1169d7c2d8cf1c80d38c55d83a85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"stays_in_weekend_nights\",\n \"reservation_status_date\",\n SUM(CAST(NULLIF(\"adults\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"adults\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"adults\", '') AS REAL))) OVER (PARTITION BY \"stays_in_weekend_nights\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"stays_in_weekend_nights\", \"reservation_status_date\"\nORDER BY share_within_group DESC\nLIMIT 14;","notes":"Uses the planned within-group share template with group_col=\"stays_in_weekend_nights\", item_col=\"reservation_status_date\", and measure_col=\"adults\". \"adults\" is cast from TEXT to REAL, with empty strings treated as NULL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_852e3ba8f5faf413/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e95079c37f8b9a7c47c702584d69cad19e157c55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:00.500678+00:00", + "ended_at": "2026-05-19T16:05:04.474300+00:00", + "elapsed_ms": 3973.59, + "returncode": 1, + "prompt_metrics": { + "chars": 16844, + "bytes_utf8": 16844, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5fcf44d55cd11a597dd75368c52669757b1efdbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:05.476768+00:00", + "ended_at": "2026-05-19T16:05:08.785233+00:00", + "elapsed_ms": 3308.43, + "returncode": 1, + "prompt_metrics": { + "chars": 16844, + "bytes_utf8": 16844, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d04f7fe7493130c831ea2f13c7125fe0342df9a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=arrival_date_year.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "arrival_date_year", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2016.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d04f7fe7493130c831ea2f13c7125fe0342df9a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=arrival_date_year.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "arrival_date_year", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2016.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..42f36e656def337ad5511d13e2eeb30341b012ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-bede-7780-9443-df8da7d6ec1e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7038f3e831a47eabd83bc29aac1947d9170d9bea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-bede-7780-9443-df8da7d6ec1e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..204fb401c155c8af75e8b031940a496407ad48fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-d252-7e40-8612-0d9759bb37dc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebc9113102a02df1532c7da8cc343b7546a57581 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-d252-7e40-8612-0d9759bb37dc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..926e4227118c6d8d9367cd31634f9ecfc4d06616 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16849, "bytes_utf8": 16849, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 417, "bytes_utf8": 417, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16650, "cached_input_tokens": 15744, "output_tokens": 631, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d62b44e5afa9e41cc23ee9b19231c52563482b09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_888d6f6420fb8669", + "api_calls": 0, + "input_tokens": 16650, + "cached_input_tokens": 15744, + "output_tokens": 631, + "total_tokens": 17281, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12053.71, + "sql_execution_elapsed_ms_total": 32.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1fe231783c460ccf418f41c2669926cfbd425983 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:10.166078+00:00", + "ended_at": "2026-05-19T16:04:22.219818+00:00", + "elapsed_ms": 12053.71, + "prompt_metrics": { + "chars": 16849, + "bytes_utf8": 16849, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 761, + "bytes_utf8": 761, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 417, + "bytes_utf8": 417, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16650, + "cached_input_tokens": 15744, + "output_tokens": 631, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e0396b7b163f26adeed08934b2894195586e871 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "days_in_waiting_list", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 101.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..08eb8a965c372dbc7205e7a2e7506663916ebd42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-fa45-77b0-9c93-63e1119dae2a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"days_in_waiting_list\\\" AS REAL) <= 101.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m12\\\";\",\"notes\":\"Uses the provided Threshold Rarity CDF template with measure_col bound to \\\"days_in_waiting_list\\\" and measure_threshold fixed at 101.0. CAST to REAL is included because the schema snapshot stores this measure as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16650,"cached_input_tokens":15744,"output_tokens":631,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3962c23018a7dcbf492e5109cf4776fb7fc83e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"days_in_waiting_list\" AS REAL) <= 101.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m12\";","notes":"Uses the provided Threshold Rarity CDF template with measure_col bound to \"days_in_waiting_list\" and measure_threshold fixed at 101.0. CAST to REAL is included because the schema snapshot stores this measure as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..25fb39055d56a54e6b3389d4d49a9cad84293452 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:08.618685+00:00", + "ended_at": "2026-05-19T16:08:11.732357+00:00", + "elapsed_ms": 3113.65, + "returncode": 1, + "prompt_metrics": { + "chars": 17007, + "bytes_utf8": 17007, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..159a42bf255ba3bf56601d1525bc5abbdc32dda7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:12.734089+00:00", + "ended_at": "2026-05-19T16:08:15.968326+00:00", + "elapsed_ms": 3234.2, + "returncode": 1, + "prompt_metrics": { + "chars": 17007, + "bytes_utf8": 17007, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a02a3b7cb85d67dae702503f9fe5c6b28a31b76a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=required_car_parking_spaces, measure_col=adults.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "required_car_parking_spaces", + "measure_col": "adults", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a02a3b7cb85d67dae702503f9fe5c6b28a31b76a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=required_car_parking_spaces, measure_col=adults.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "required_car_parking_spaces", + "measure_col": "adults", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94752e9e6e7c43daef78499315e36399ccbddf1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9da2-7aa1-8dcc-ad9156d9875d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..63e14ed9894bd239877654d74aabed38db7f4cec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-9da2-7aa1-8dcc-ad9156d9875d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5ad81f02083ce529d5c46fb65600049777078d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-adc5-7ea1-9050-21e7f5a675de"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1564e15e72cfc96c208642066a6b8c08b1269899 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-adc5-7ea1-9050-21e7f5a675de"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46107e67af467b8804f2ac315923d7ae71846caf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17052, "bytes_utf8": 17052, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 17052, "bytes_utf8": 17052, "lines": 480, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 804, "bytes_utf8": 804, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16689, "cached_input_tokens": 12032, "output_tokens": 1989, "reasoning_output_tokens": 1745}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..014a9ad849b2cd7eaacbb643ccdd9756b2828046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_8cdde1b1025e732c", + "api_calls": 0, + "input_tokens": 16689, + "cached_input_tokens": 12032, + "output_tokens": 1989, + "total_tokens": 18678, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 43196.42, + "sql_execution_elapsed_ms_total": 289.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2376f5542b0078fc506c30a82b8ed539cafe64a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:19.550797+00:00", + "ended_at": "2026-05-19T15:59:23.632854+00:00", + "elapsed_ms": 4082.03, + "returncode": 1, + "prompt_metrics": { + "chars": 17052, + "bytes_utf8": 17052, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bfb60eb50810caf32b1c3f91463ac67963d0ee61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:24.635167+00:00", + "ended_at": "2026-05-19T16:00:03.749596+00:00", + "elapsed_ms": 39114.39, + "prompt_metrics": { + "chars": 17052, + "bytes_utf8": 17052, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1237, + "bytes_utf8": 1237, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 804, + "bytes_utf8": 804, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16689, + "cached_input_tokens": 12032, + "output_tokens": 1989, + "reasoning_output_tokens": 1745 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1fd81794bc278fb6f7ea31fb8b9d8609fdb9366f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=meal, measure_col=agent.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "meal", + "measure_col": "agent", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1fd81794bc278fb6f7ea31fb8b9d8609fdb9366f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=meal, measure_col=agent.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "meal", + "measure_col": "agent", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cd544045540f4dcca9e14425444b67c06d5a2a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-8b06-73b2-ae50-dc22a64beb1a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc6d6efddc3849209d2768a33597534b15bf675e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-8b06-73b2-ae50-dc22a64beb1a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b99b6551662325eef3142685156b6614bc45d1d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-9ef8-78a1-bdeb-fdce54433c88"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"meal\\\",\\n CAST(\\\"agent\\\" AS REAL) AS \\\"agent_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"meal\\\"\\n ORDER BY CAST(\\\"agent\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"meal\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(TRIM(\\\"agent\\\"), '') IS NOT NULL\\n)\\nSELECT\\n \\\"meal\\\",\\n \\\"agent_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cnt\\\" >= 5\\n AND \\\"rn\\\" = CAST(((9 * \\\"cnt\\\") + 9) / 10 AS INTEGER)\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per \\\"meal\\\" on numeric-cast \\\"agent\\\" values, excluding blank agents and keeping groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16689,"cached_input_tokens":12032,"output_tokens":1989,"reasoning_output_tokens":1745}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd94bcf934266a3562a96cc333def57f8f1338c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"meal\",\n CAST(\"agent\" AS REAL) AS \"agent_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"meal\"\n ORDER BY CAST(\"agent\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"meal\"\n ) AS \"cnt\"\n FROM \"m12\"\n WHERE NULLIF(TRIM(\"agent\"), '') IS NOT NULL\n)\nSELECT\n \"meal\",\n \"agent_value\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cnt\" >= 5\n AND \"rn\" = CAST(((9 * \"cnt\") + 9) / 10 AS INTEGER)\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per \"meal\" on numeric-cast \"agent\" values, excluding blank agents and keeping groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8cdde1b1025e732c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77a9ef99d3adfc4836cd8ab14efb0a2b5bc0cf3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17131, "bytes_utf8": 17131, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 652, "bytes_utf8": 652, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16701, "cached_input_tokens": 15744, "output_tokens": 676, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..590c81c51e4be3d51ffaf2ac68c0d2e155a25934 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_8e2c2d7582671a39", + "api_calls": 0, + "input_tokens": 16701, + "cached_input_tokens": 15744, + "output_tokens": 676, + "total_tokens": 17377, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14953.88, + "sql_execution_elapsed_ms_total": 60.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4068eafd15d4e5741dd7df4407462a44fdada51b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:01.334141+00:00", + "ended_at": "2026-05-19T15:55:16.288044+00:00", + "elapsed_ms": 14953.88, + "prompt_metrics": { + "chars": 17131, + "bytes_utf8": 17131, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1014, + "bytes_utf8": 1014, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 652, + "bytes_utf8": 652, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16701, + "cached_input_tokens": 15744, + "output_tokens": 676, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7267df1212657bb3665b2d3c07dfa2f70b1fad2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=arrival_date_week_number, measure_col=arrival_date_week_number.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "arrival_date_week_number", + "measure_col": "arrival_date_week_number", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 43.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2d6010613d66b09c6e27fe7df0fa3d723bc7054 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-9a66-7323-829b-e8a7cebd30eb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"arrival_date_week_number\\\",\\n MAX(CAST(\\\"arrival_date_week_number\\\" AS REAL)) AS \\\"percentile_measure\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_week_number\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 11;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses an equivalent simplification for this specific binding: because group_col and measure_col are both \\\"arrival_date_week_number\\\", every row in a group has the same measure value, making the 95th percentile equal to that grouped value. CAST is used because the schema stores the field as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16701,"cached_input_tokens":15744,"output_tokens":676,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c5700505580633c106ba7da6fd6d173a7ff975c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"arrival_date_week_number\",\n MAX(CAST(\"arrival_date_week_number\" AS REAL)) AS \"percentile_measure\"\nFROM \"m12\"\nGROUP BY \"arrival_date_week_number\"\nHAVING COUNT(*) >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 11;","notes":"SQLite does not support PERCENTILE_CONT, so this uses an equivalent simplification for this specific binding: because group_col and measure_col are both \"arrival_date_week_number\", every row in a group has the same measure value, making the 95th percentile equal to that grouped value. CAST is used because the schema stores the field as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0042fc02e14c04211a6f1be18fbd9eee535ade03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:54.480722+00:00", + "ended_at": "2026-05-19T16:08:59.693181+00:00", + "elapsed_ms": 5212.44, + "returncode": 1, + "prompt_metrics": { + "chars": 16964, + "bytes_utf8": 16964, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ad43313194fab00e5803abfd9b6ca1b92bdb5d0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:00.694780+00:00", + "ended_at": "2026-05-19T16:09:03.758524+00:00", + "elapsed_ms": 3063.72, + "returncode": 1, + "prompt_metrics": { + "chars": 16964, + "bytes_utf8": 16964, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e547600f4ad84c91fc19f6367f0cd44e04fc4a75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=hotel, measure_col=agent.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "hotel", + "measure_col": "agent", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 136.52, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e547600f4ad84c91fc19f6367f0cd44e04fc4a75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=hotel, measure_col=agent.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "hotel", + "measure_col": "agent", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 136.52, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..90797c042e1a0f66065f6a9f0ba637110dbcaf1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-50d5-7bc2-ac8e-c39d993f4517"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d62e33f44dd95f14be7255873c3cc1e18231d50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-50d5-7bc2-ac8e-c39d993f4517"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..94ae69a9b9da4b25f4d6af31f72472fb641c2a01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-6907-72f0-8e5c-96cb16759254"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb81c8d62bf9f7b83873ae2f74b03e2858f41aa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-6907-72f0-8e5c-96cb16759254"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bcaf805d2defbd63bca9a44e1671b8f69ae0a872 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17054, "bytes_utf8": 17054, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 610, "bytes_utf8": 610, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16708, "cached_input_tokens": 15744, "output_tokens": 638, "reasoning_output_tokens": 459}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5120f9925587423ce9e519ae558d2327fde65778 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_8f181f561bd09f37", + "api_calls": 0, + "input_tokens": 16708, + "cached_input_tokens": 15744, + "output_tokens": 638, + "total_tokens": 17346, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17617.62, + "sql_execution_elapsed_ms_total": 165.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..001c5560af5773babb541f55796abbb3824f9bbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:40.889171+00:00", + "ended_at": "2026-05-19T15:45:58.506816+00:00", + "elapsed_ms": 17617.62, + "prompt_metrics": { + "chars": 17054, + "bytes_utf8": 17054, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1002, + "bytes_utf8": 1002, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 610, + "bytes_utf8": 610, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16708, + "cached_input_tokens": 15744, + "output_tokens": 638, + "reasoning_output_tokens": 459 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a18417a3d622f8aa559cb1fec93c4cd23832db56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=adults.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "adults", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe2aeb91d656e688f68c4722abac2ba749f5393d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-0d1c-7363-9706-9b999e2ea23f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"adults\\\" AS INTEGER) AS \\\"adults\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"adults\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"adults\\\" IS NOT NULL AND TRIM(\\\"adults\\\") <> ''\\n)\\nSELECT \\\"adults\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"adults\\\" DESC;\",\"notes\":\"Uses the Quantile Tail Slice template with measure_col bound to \\\"adults\\\" and num_tiles=10. \\\"adults\\\" is cast from TEXT to INTEGER and blank values are excluded so the tail bucket is computed numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16708,"cached_input_tokens":15744,"output_tokens":638,"reasoning_output_tokens":459}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..63572da672df1a00793b0f4eeeb91a9f2ed626d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT CAST(\"adults\" AS INTEGER) AS \"adults\",\n NTILE(10) OVER (ORDER BY CAST(\"adults\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"m12\"\n WHERE \"adults\" IS NOT NULL AND TRIM(\"adults\") <> ''\n)\nSELECT \"adults\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"adults\" DESC;","notes":"Uses the Quantile Tail Slice template with measure_col bound to \"adults\" and num_tiles=10. \"adults\" is cast from TEXT to INTEGER and blank values are excluded so the tail bucket is computed numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b79bc294623759374852c14fecfafa7bf23c23f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:29.331526+00:00", + "ended_at": "2026-05-19T16:05:32.046496+00:00", + "elapsed_ms": 2714.94, + "returncode": 1, + "prompt_metrics": { + "chars": 16854, + "bytes_utf8": 16854, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b36df6a113879990efc141fadaf48062a5c37ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:33.049760+00:00", + "ended_at": "2026-05-19T16:05:37.454915+00:00", + "elapsed_ms": 4405.1, + "returncode": 1, + "prompt_metrics": { + "chars": 16854, + "bytes_utf8": 16854, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b52ba52a6b459753d2158a6566857331c6dc7b0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=stays_in_weekend_nights.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "stays_in_weekend_nights", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b52ba52a6b459753d2158a6566857331c6dc7b0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=stays_in_weekend_nights.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "stays_in_weekend_nights", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3210e052946c7360f15bf41ab99fa2e68f3339ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-2f91-7ce0-8ea0-58f31f586a9a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f658dc0a719bfb08764a89c912401127f30a2e02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-2f91-7ce0-8ea0-58f31f586a9a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..70b2e32c1937f4f36bf01f4d954404f89edf4e40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-3e06-7b43-8b2b-1ae77e4a714e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4b3e5992774712ac36c41b3246160e7985a8789 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-3e06-7b43-8b2b-1ae77e4a714e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_90f9489f47b1b2e9/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0fb0d7a1499be094992883991063dee701e56347 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:30.065632+00:00", + "ended_at": "2026-05-19T16:08:33.388852+00:00", + "elapsed_ms": 3323.19, + "returncode": 1, + "prompt_metrics": { + "chars": 17007, + "bytes_utf8": 17007, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..76871d0476da23e04859b47d11b6733c0bc41b97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:34.390594+00:00", + "ended_at": "2026-05-19T16:08:37.227519+00:00", + "elapsed_ms": 2836.89, + "returncode": 1, + "prompt_metrics": { + "chars": 17007, + "bytes_utf8": 17007, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..35606be5a4a9907c0a16649794cf74371ab8429e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=reservation_status, measure_col=booking_changes.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "reservation_status", + "measure_col": "booking_changes", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..35606be5a4a9907c0a16649794cf74371ab8429e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=reservation_status, measure_col=booking_changes.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "reservation_status", + "measure_col": "booking_changes", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..27dd1ebfb3fbfe19a8b51fedfea65ca6f13f2b06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f16a-72d3-b7d8-12dd888db612"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b645c92ccb3bfeb64cc0ccd53ad306d00f96a86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f16a-72d3-b7d8-12dd888db612"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b0f333c3e5d194264a790a96ec26eb71dc30f96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0255-7563-bfd5-d4d3166fef63"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e57513372c46aa280b1c7259d5865982ab0a4207 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0255-7563-bfd5-d4d3166fef63"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5107a2715eb6bb4bfbab17c6c1d7e4338650b963 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17460, "bytes_utf8": 17460, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 868, "bytes_utf8": 868, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16799, "cached_input_tokens": 15744, "output_tokens": 759, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b321a83d01fa7a1669c0b5518d3520500f83e1f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_9569e72e3cae8282", + "api_calls": 0, + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 759, + "total_tokens": 17558, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17872.38, + "sql_execution_elapsed_ms_total": 76.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4ae52ac4845a97376537de25337f5a1f654ea93a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:18.355754+00:00", + "ended_at": "2026-05-19T15:49:36.228164+00:00", + "elapsed_ms": 17872.38, + "prompt_metrics": { + "chars": 17460, + "bytes_utf8": 17460, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1298, + "bytes_utf8": 1298, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 868, + "bytes_utf8": 868, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 759, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..78edc53fd8db50f088331f56b820aa85b996b5fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=agent, measure_col=stays_in_week_nights.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "agent", + "measure_col": "stays_in_week_nights", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..af673781bbf1da8b54d223429a767f31fac1295b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-5e97-7941-849b-b5fa489c0baf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"agent\\\",\\n SUM(CAST(NULLIF(\\\"stays_in_week_nights\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(\\\"agent\\\", '') IS NOT NULL\\n AND NULLIF(\\\"stays_in_week_nights\\\", '') IS NOT NULL\\n GROUP BY \\\"agent\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"agent\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided relative-to-total threshold template with group_col=\\\"agent\\\" and measure_col=\\\"stays_in_week_nights\\\". Filtered out blank agent and measure values and cast the TEXT measure to REAL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16799,"cached_input_tokens":15744,"output_tokens":759,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a03f22102a5ab3501114dd77be1de94462a1f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"agent\",\n SUM(CAST(NULLIF(\"stays_in_week_nights\", '') AS REAL)) AS \"group_value\"\n FROM \"m12\"\n WHERE NULLIF(\"agent\", '') IS NOT NULL\n AND NULLIF(\"stays_in_week_nights\", '') IS NOT NULL\n GROUP BY \"agent\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"agent\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the provided relative-to-total threshold template with group_col=\"agent\" and measure_col=\"stays_in_week_nights\". Filtered out blank agent and measure values and cast the TEXT measure to REAL for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9569e72e3cae8282/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85a0115143d6e4d519205e21dab9fc5794e0236d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17325, "bytes_utf8": 17325, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 661, "bytes_utf8": 661, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16778, "cached_input_tokens": 12032, "output_tokens": 568, "reasoning_output_tokens": 383}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92a00b671b8af942b879d26da7ed0a19e107fa79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_96e523796a209ada", + "api_calls": 0, + "input_tokens": 16778, + "cached_input_tokens": 12032, + "output_tokens": 568, + "total_tokens": 17346, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11979.14, + "sql_execution_elapsed_ms_total": 103.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b3d1272fec68e3ba1da80b302eac533055bd9173 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:48.905174+00:00", + "ended_at": "2026-05-19T15:37:00.884352+00:00", + "elapsed_ms": 11979.14, + "prompt_metrics": { + "chars": 17325, + "bytes_utf8": 17325, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1044, + "bytes_utf8": 1044, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 661, + "bytes_utf8": 661, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16778, + "cached_input_tokens": 12032, + "output_tokens": 568, + "reasoning_output_tokens": 383 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9b0cb3e97c3ca752f9682acc91f37d6fe965e8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=is_canceled, measure_col=lead_time.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "is_canceled", + "measure_col": "lead_time", + "item_col": "previous_bookings_not_canceled", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 42.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b5a7ee2fb73bd0a6b5e2a2af2e3ed675b827a70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-ef12-7f40-914e-2b07ecc95781"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"is_canceled\\\",\\n \\\"previous_bookings_not_canceled\\\",\\n SUM(CAST(NULLIF(\\\"lead_time\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"lead_time\\\", '') AS REAL)) * 100.0 /\\n SUM(SUM(CAST(NULLIF(\\\"lead_time\\\", '') AS REAL))) OVER (PARTITION BY \\\"is_canceled\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"is_canceled\\\", \\\"previous_bookings_not_canceled\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the within-group share template with group_col=\\\"is_canceled\\\", item_col=\\\"previous_bookings_not_canceled\\\", and cast \\\"lead_time\\\" from TEXT to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16778,"cached_input_tokens":12032,"output_tokens":568,"reasoning_output_tokens":383}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cac869a1d11084b46ca422380237108f3514561 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"is_canceled\",\n \"previous_bookings_not_canceled\",\n SUM(CAST(NULLIF(\"lead_time\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"lead_time\", '') AS REAL)) * 100.0 /\n SUM(SUM(CAST(NULLIF(\"lead_time\", '') AS REAL))) OVER (PARTITION BY \"is_canceled\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"is_canceled\", \"previous_bookings_not_canceled\"\nORDER BY share_within_group DESC;","notes":"Applied the within-group share template with group_col=\"is_canceled\", item_col=\"previous_bookings_not_canceled\", and cast \"lead_time\" from TEXT to REAL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9c570015d5d46998c447454c4f12fc1b6c8a3af0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17345, "bytes_utf8": 17345, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 658, "bytes_utf8": 658, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16786, "cached_input_tokens": 15744, "output_tokens": 491, "reasoning_output_tokens": 303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15b735d0e847882fe1f1258a5d80a1a34dffb7fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_97f295f4a9e4e473", + "api_calls": 0, + "input_tokens": 16786, + "cached_input_tokens": 15744, + "output_tokens": 491, + "total_tokens": 17277, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13373.62, + "sql_execution_elapsed_ms_total": 206.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1b9baed5972c6bb360eb26067d366aa3c2d4518 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:10.427446+00:00", + "ended_at": "2026-05-19T15:39:23.801103+00:00", + "elapsed_ms": 13373.62, + "prompt_metrics": { + "chars": 17345, + "bytes_utf8": 17345, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1041, + "bytes_utf8": 1041, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 658, + "bytes_utf8": 658, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16786, + "cached_input_tokens": 15744, + "output_tokens": 491, + "reasoning_output_tokens": 303 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66b321226c10cf3c3b8b99521e6a910b5ca131b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=arrival_date_day_of_month, measure_col=stays_in_week_nights.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "arrival_date_day_of_month", + "measure_col": "stays_in_week_nights", + "item_col": "adr", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a3e9a89dde1bab2f0c7d2696f7efe2dfe6ee829 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-17e5-7c02-a302-fa1feb37af1e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"arrival_date_day_of_month\\\",\\n \\\"adr\\\",\\n SUM(CAST(\\\"stays_in_week_nights\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"stays_in_week_nights\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"stays_in_week_nights\\\" AS REAL))) OVER (PARTITION BY \\\"arrival_date_day_of_month\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_day_of_month\\\", \\\"adr\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"arrival_date_day_of_month\\\", item_col=\\\"adr\\\", and measure_col=\\\"stays_in_week_nights\\\". Cast the measure from TEXT to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16786,"cached_input_tokens":15744,"output_tokens":491,"reasoning_output_tokens":303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..de38701cabfa5a410777c2f7afea8e40d223e970 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"arrival_date_day_of_month\",\n \"adr\",\n SUM(CAST(\"stays_in_week_nights\" AS REAL)) AS total_measure,\n SUM(CAST(\"stays_in_week_nights\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"stays_in_week_nights\" AS REAL))) OVER (PARTITION BY \"arrival_date_day_of_month\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"arrival_date_day_of_month\", \"adr\"\nORDER BY share_within_group DESC;","notes":"Applied the planned template with group_col=\"arrival_date_day_of_month\", item_col=\"adr\", and measure_col=\"stays_in_week_nights\". Cast the measure from TEXT to REAL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_97f295f4a9e4e473/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bef236e1241edebc2da58687b4488712901c2710 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17321, "bytes_utf8": 17321, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 699, "bytes_utf8": 699, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16776, "cached_input_tokens": 15744, "output_tokens": 710, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..35a787865fe9544a34647f176d659feec3648b9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_9d20579fd8922599", + "api_calls": 0, + "input_tokens": 16776, + "cached_input_tokens": 15744, + "output_tokens": 710, + "total_tokens": 17486, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13934.78, + "sql_execution_elapsed_ms_total": 131.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3fe43410f030507487b2e597a38a9023c47dbf52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:38.491105+00:00", + "ended_at": "2026-05-19T15:35:52.425914+00:00", + "elapsed_ms": 13934.78, + "prompt_metrics": { + "chars": 17321, + "bytes_utf8": 17321, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1095, + "bytes_utf8": 1095, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 699, + "bytes_utf8": 699, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16776, + "cached_input_tokens": 15744, + "output_tokens": 710, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..129b9a301636e6f989372a68f7ed40586209fdd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=reservation_status, measure_col=adr.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "reservation_status", + "measure_col": "adr", + "item_col": "stays_in_week_nights", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 161.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb791e549573fdbf1a3cae4eb972f96e7495e4d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-dc03-7100-a107-e27b4b330784"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"reservation_status\\\",\\n \\\"stays_in_week_nights\\\",\\n SUM(CAST(NULLIF(\\\"adr\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"adr\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"adr\\\", '') AS REAL))) OVER (PARTITION BY \\\"reservation_status\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"reservation_status\\\", \\\"stays_in_week_nights\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 11;\",\"notes\":\"Used the requested template with group_col=\\\"reservation_status\\\", item_col=\\\"stays_in_week_nights\\\", and measure_col=\\\"adr\\\". Applied NULLIF and CAST to treat text-form numeric values safely in SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16776,"cached_input_tokens":15744,"output_tokens":710,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a04c5391e45c6c1c7aad26e6efc51aebc8b9424 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"reservation_status\",\n \"stays_in_week_nights\",\n SUM(CAST(NULLIF(\"adr\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"adr\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"adr\", '') AS REAL))) OVER (PARTITION BY \"reservation_status\") AS \"share_within_group\"\nFROM \"m12\"\nGROUP BY \"reservation_status\", \"stays_in_week_nights\"\nORDER BY \"share_within_group\" DESC\nLIMIT 11;","notes":"Used the requested template with group_col=\"reservation_status\", item_col=\"stays_in_week_nights\", and measure_col=\"adr\". Applied NULLIF and CAST to treat text-form numeric values safely in SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f4684a5d6f25a327a487292887637ca2904ef31b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16916, "bytes_utf8": 16916, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 460, "bytes_utf8": 460, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16663, "cached_input_tokens": 12032, "output_tokens": 363, "reasoning_output_tokens": 239}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1174c44900255b8aadac59a824fdb5d0a355fea5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_a07f143e42a18e99", + "api_calls": 0, + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 363, + "total_tokens": 17026, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10139.09, + "sql_execution_elapsed_ms_total": 79.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..def7250d317cd413f0e89c2abe0d28c4333ed412 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:06.822054+00:00", + "ended_at": "2026-05-19T15:31:16.961177+00:00", + "elapsed_ms": 10139.09, + "prompt_metrics": { + "chars": 16916, + "bytes_utf8": 16916, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 818, + "bytes_utf8": 818, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 460, + "bytes_utf8": 460, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 363, + "reasoning_output_tokens": 239 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43f667e79e5cc4da38258385ede7fb7f8b0a0434 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=stays_in_weekend_nights, measure_col=children.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "stays_in_weekend_nights", + "measure_col": "children", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bb94ddafbcd167a9faadef7e8a54528e9108c3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-b6ba-7fc2-9e31-9a59e0895f89"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"stays_in_weekend_nights\\\", SUM(CAST(NULLIF(\\\"children\\\", '') AS REAL)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"stays_in_weekend_nights\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"stays_in_weekend_nights\\\" and measure_col=\\\"children\\\". Casted \\\"children\\\" from TEXT to REAL and treated empty strings as NULL so SQLite SUM works safely on this schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16663,"cached_input_tokens":12032,"output_tokens":363,"reasoning_output_tokens":239}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..96e2807d567107786f742ccec71b4de8b8c4e816 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"stays_in_weekend_nights\", SUM(CAST(NULLIF(\"children\", '') AS REAL)) AS total_measure\nFROM \"m12\"\nGROUP BY \"stays_in_weekend_nights\"\nORDER BY total_measure DESC;","notes":"Used the required grouped-sum template with group_col=\"stays_in_weekend_nights\" and measure_col=\"children\". Casted \"children\" from TEXT to REAL and treated empty strings as NULL so SQLite SUM works safely on this schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ba35c03944b7e1b2c1c35c69fc7756e81121b007 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17057, "bytes_utf8": 17057, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 601, "bytes_utf8": 601, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16706, "cached_input_tokens": 15744, "output_tokens": 584, "reasoning_output_tokens": 417}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..09ec85534c0f4fae307a77f375976ae04f17148e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_a27dd81dcbaf6d24", + "api_calls": 0, + "input_tokens": 16706, + "cached_input_tokens": 15744, + "output_tokens": 584, + "total_tokens": 17290, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19142.57, + "sql_execution_elapsed_ms_total": 180.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2d5c47fc191a88fe75ef900e3cb0e6c8c6fc9251 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:58.685576+00:00", + "ended_at": "2026-05-19T15:46:17.828176+00:00", + "elapsed_ms": 19142.57, + "prompt_metrics": { + "chars": 17057, + "bytes_utf8": 17057, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1654, + "bytes_utf8": 1654, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 601, + "bytes_utf8": 601, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16706, + "cached_input_tokens": 15744, + "output_tokens": 584, + "reasoning_output_tokens": 417 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fc96f568017669e20fc725ef3c672ebdffafbfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=children.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "children", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c66e0cbd5383c88edd901c772ccfa18b7583b9e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40ea-52bf-7033-ae3e-cadbfcdc352c"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1996450, Requested 17341. Please try again in 413ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 17341. Please try again in 520ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"children\\\",\\n NTILE(10) OVER (\\n ORDER BY CAST(NULLIF(\\\"children\\\", '') AS REAL) DESC\\n ) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(\\\"children\\\", '') IS NOT NULL\\n)\\nSELECT \\\"children\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"children\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=\\\"children\\\" and num_tiles=10. Blank values are excluded and ordering is cast to REAL because \\\"children\\\" is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16706,"cached_input_tokens":15744,"output_tokens":584,"reasoning_output_tokens":417}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bed08afdc526393b33ec343082f27ac5ffb4b1cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"children\",\n NTILE(10) OVER (\n ORDER BY CAST(NULLIF(\"children\", '') AS REAL) DESC\n ) AS \"tail_bucket\"\n FROM \"m12\"\n WHERE NULLIF(\"children\", '') IS NOT NULL\n)\nSELECT \"children\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"children\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col=\"children\" and num_tiles=10. Blank values are excluded and ordering is cast to REAL because \"children\" is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a27dd81dcbaf6d24/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c5ac70328a26977a479dedca11d96f7f8b3e7882 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17250, "bytes_utf8": 17250, "lines": 484, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 583, "bytes_utf8": 583, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16754, "cached_input_tokens": 15744, "output_tokens": 418, "reasoning_output_tokens": 277}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..655d31c0cfca2530edd37d3d05561c8d7fcb95e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_a48c12fa8785c5cd", + "api_calls": 0, + "input_tokens": 16754, + "cached_input_tokens": 15744, + "output_tokens": 418, + "total_tokens": 17172, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10683.94, + "sql_execution_elapsed_ms_total": 24.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d641d46b5f676191a3e0c8f71f477f9b6e5346ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:11.729710+00:00", + "ended_at": "2026-05-19T15:43:22.413677+00:00", + "elapsed_ms": 10683.94, + "prompt_metrics": { + "chars": 17250, + "bytes_utf8": 17250, + "lines": 484, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 950, + "bytes_utf8": 950, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 583, + "bytes_utf8": 583, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16754, + "cached_input_tokens": 15744, + "output_tokens": 418, + "reasoning_output_tokens": 277 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9e1aa9a2c6a49922b0e9eb729b4fd9efca86ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,484 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=is_canceled, group_col_2=total_of_special_requests.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "is_canceled", + "group_col_2": "total_of_special_requests", + "predicate_col": "previous_cancellations", + "predicate_op": "=", + "predicate_value": "24", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..95f2ba940cc5871041095844894933d465ae9dfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-c681-7832-99d6-696e846e1f4e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"is_canceled\\\", \\\"total_of_special_requests\\\", COUNT(*) AS row_count\\nFROM \\\"m12\\\"\\nWHERE \\\"previous_cancellations\\\" = '24'\\nGROUP BY \\\"is_canceled\\\", \\\"total_of_special_requests\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"is_canceled\\\", group_col_2=\\\"total_of_special_requests\\\", and predicate_col=\\\"previous_cancellations\\\". The predicate value is quoted as text because the schema snapshot shows these columns are stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16754,"cached_input_tokens":15744,"output_tokens":418,"reasoning_output_tokens":277}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6d55bbb2473ea0987aae55fd8add982291d2ecd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"is_canceled\", \"total_of_special_requests\", COUNT(*) AS row_count\nFROM \"m12\"\nWHERE \"previous_cancellations\" = '24'\nGROUP BY \"is_canceled\", \"total_of_special_requests\"\nORDER BY row_count DESC;","notes":"Used the provided filtered two-dimensional group count template with group_col=\"is_canceled\", group_col_2=\"total_of_special_requests\", and predicate_col=\"previous_cancellations\". The predicate value is quoted as text because the schema snapshot shows these columns are stored as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dc89d43f0d80bb1b4d89b6a8d8e1ff757e8ea151 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17330, "bytes_utf8": 17330, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 653, "bytes_utf8": 653, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16777, "cached_input_tokens": 15744, "output_tokens": 782, "reasoning_output_tokens": 609}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..66b6a1efd9abf19b88305c1ca18d1189d6222e18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_a4c73a45858873ef", + "api_calls": 0, + "input_tokens": 16777, + "cached_input_tokens": 15744, + "output_tokens": 782, + "total_tokens": 17559, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15727.86, + "sql_execution_elapsed_ms_total": 108.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a24a2e87e6b847b77c615725bdac085bea3c87be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:16.173856+00:00", + "ended_at": "2026-05-19T15:37:31.901738+00:00", + "elapsed_ms": 15727.86, + "prompt_metrics": { + "chars": 17330, + "bytes_utf8": 17330, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1035, + "bytes_utf8": 1035, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 653, + "bytes_utf8": 653, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16777, + "cached_input_tokens": 15744, + "output_tokens": 782, + "reasoning_output_tokens": 609 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b502d2de022faa6cc0ff1c8b0fedb23f303cf326 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=lead_time, measure_col=arrival_date_year.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "lead_time", + "measure_col": "arrival_date_year", + "item_col": "booking_changes", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2016.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9921888b5afaa68584623e9c4b417917132be44f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-599f-76a3-b15a-13fbb0e4d637"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"lead_time\\\",\\n \\\"booking_changes\\\",\\n SUM(CAST(\\\"arrival_date_year\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"arrival_date_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"arrival_date_year\\\" AS REAL))) OVER (PARTITION BY \\\"lead_time\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"lead_time\\\", \\\"booking_changes\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"lead_time\\\", item_col=\\\"booking_changes\\\", and measure_col=\\\"arrival_date_year\\\". CAST is used because the schema snapshot stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16777,"cached_input_tokens":15744,"output_tokens":782,"reasoning_output_tokens":609}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc3844c1aed543cd9b14e99a0111e8b54e7191f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"lead_time\",\n \"booking_changes\",\n SUM(CAST(\"arrival_date_year\" AS REAL)) AS total_measure,\n SUM(CAST(\"arrival_date_year\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"arrival_date_year\" AS REAL))) OVER (PARTITION BY \"lead_time\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"lead_time\", \"booking_changes\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"lead_time\", item_col=\"booking_changes\", and measure_col=\"arrival_date_year\". CAST is used because the schema snapshot stores these fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d0ca4e75b40707abca7d58a61560706cbea525a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16827, "bytes_utf8": 16827, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 16827, "bytes_utf8": 16827, "lines": 478, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16644, "cached_input_tokens": 12032, "output_tokens": 210, "reasoning_output_tokens": 101}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..886ac418a9e622fbf37ee795027394b9efe6a61e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_b1b39bd682a5e334", + "api_calls": 0, + "input_tokens": 16644, + "cached_input_tokens": 12032, + "output_tokens": 210, + "total_tokens": 16854, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10723.43, + "sql_execution_elapsed_ms_total": 26.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..14c715cc924748bff79e6b67cf4dd0dcb4340bee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:48.733381+00:00", + "ended_at": "2026-05-19T16:04:51.842677+00:00", + "elapsed_ms": 3109.26, + "returncode": 1, + "prompt_metrics": { + "chars": 16827, + "bytes_utf8": 16827, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..281fd07c663578ff3f87d6f5ba784b2834314631 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:52.847338+00:00", + "ended_at": "2026-05-19T16:05:00.461558+00:00", + "elapsed_ms": 7614.17, + "prompt_metrics": { + "chars": 16827, + "bytes_utf8": 16827, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 727, + "bytes_utf8": 727, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 379, + "bytes_utf8": 379, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16644, + "cached_input_tokens": 12032, + "output_tokens": 210, + "reasoning_output_tokens": 101 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b1e4a467bca5486b6a4551ccab61c26459cb015 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=lead_time.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "lead_time", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b1e4a467bca5486b6a4551ccab61c26459cb015 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=lead_time.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "lead_time", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..46fefa6cfc942568a2c2e32987bafb360a10408e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-90f7-7302-a556-146633e11cea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28c6858c7a31ac33713a941b7930a88cdc3195cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-90f7-7302-a556-146633e11cea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..397cf748e17ff13e586197b408a332c5dc10c89c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-a0eb-7e21-a094-2ce4b27d503b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"lead_time\\\" AS REAL) <= 53.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m12\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col bound to \\\"lead_time\\\" and threshold 53.0. CAST to REAL is added because the schema snapshot shows \\\"lead_time\\\" stored as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16644,"cached_input_tokens":12032,"output_tokens":210,"reasoning_output_tokens":101}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..63a351df12673e62b49780fe2c64e8ffe4e79bce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"lead_time\" AS REAL) <= 53.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m12\";","notes":"Used the planned Threshold Rarity CDF template with measure_col bound to \"lead_time\" and threshold 53.0. CAST to REAL is added because the schema snapshot shows \"lead_time\" stored as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b1b39bd682a5e334/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..54b7f8ec9ca1a5297a0a82216f889629a378222d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16808, "bytes_utf8": 16808, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 285, "bytes_utf8": 285, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16628, "cached_input_tokens": 12032, "output_tokens": 292, "reasoning_output_tokens": 214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..75383883d47275f1e423526cc8398fce4cc667b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_bdda00784a862b0d", + "api_calls": 0, + "input_tokens": 16628, + "cached_input_tokens": 12032, + "output_tokens": 292, + "total_tokens": 16920, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12154.48, + "sql_execution_elapsed_ms_total": 62.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7e60bc922ef2e0b0d3b359783dbac12a0e41e0e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:23.369715+00:00", + "ended_at": "2026-05-19T15:32:35.524226+00:00", + "elapsed_ms": 12154.48, + "prompt_metrics": { + "chars": 16808, + "bytes_utf8": 16808, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 643, + "bytes_utf8": 643, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 285, + "bytes_utf8": 285, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16628, + "cached_input_tokens": 12032, + "output_tokens": 292, + "reasoning_output_tokens": 214 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9ec188378578460972f7dc8d6da205b7e240e3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=market_segment.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "market_segment", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..660ae801489cef08c50a327d7421bb6d1b99ae00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-e1ef-7700-b786-6889b6986f9f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"market_segment\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"market_segment\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the grouped count template with group_col bound to \\\"market_segment\\\" on table \\\"m12\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16628,"cached_input_tokens":12032,"output_tokens":292,"reasoning_output_tokens":214}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..50df7088c684969861c70d2c618d0d0912e7c845 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"market_segment\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nGROUP BY \"market_segment\"\nORDER BY \"row_count\" DESC;","notes":"Applied the grouped count template with group_col bound to \"market_segment\" on table \"m12\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..abe8ee9e9846b61b22d32ab490e9cdfdac50a2ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17077, "bytes_utf8": 17077, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 17077, "bytes_utf8": 17077, "lines": 480, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 2195, "bytes_utf8": 2195, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16692, "cached_input_tokens": 15744, "output_tokens": 2785, "reasoning_output_tokens": 2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6c3db70e5cae21df900445593683fe58825c1e65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_bf2c45772e627b11", + "api_calls": 0, + "input_tokens": 16692, + "cached_input_tokens": 15744, + "output_tokens": 2785, + "total_tokens": 19477, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 42116.21, + "sql_execution_elapsed_ms_total": 488.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fc95c72a55b3959d49f1c88efb328fad9a2c677b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:35.932584+00:00", + "ended_at": "2026-05-19T15:58:39.072155+00:00", + "elapsed_ms": 3139.54, + "returncode": 1, + "prompt_metrics": { + "chars": 17077, + "bytes_utf8": 17077, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dfb8a28e3a011f9bf67a5b3a708201b90eace962 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:40.073739+00:00", + "ended_at": "2026-05-19T15:59:19.050437+00:00", + "elapsed_ms": 38976.67, + "prompt_metrics": { + "chars": 17077, + "bytes_utf8": 17077, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2847, + "bytes_utf8": 2847, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2195, + "bytes_utf8": 2195, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16692, + "cached_input_tokens": 15744, + "output_tokens": 2785, + "reasoning_output_tokens": 2070 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..97988b4c5684e5b44de8bf988a51d6a531125b89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=babies, measure_col=booking_changes.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "babies", + "measure_col": "booking_changes", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..97988b4c5684e5b44de8bf988a51d6a531125b89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=babies, measure_col=booking_changes.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "babies", + "measure_col": "booking_changes", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7f6d6c5a73db9cfe00085aad190b1521e29dd07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-e095-7121-87b1-83c3570fdb73"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddd80ca231fa5281ccf78d66a76150ab8abf2a6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-e095-7121-87b1-83c3570fdb73"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfbfba8f776cf035d1676a3c30577b265f585d86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-f0e5-7273-9169-26e2a2bf9b43"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"babies\\\",\\n CAST(\\\"booking_changes\\\" AS REAL) AS \\\"booking_changes_num\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"babies\\\" IS NOT NULL\\n AND TRIM(\\\"babies\\\") <> ''\\n AND \\\"booking_changes\\\" IS NOT NULL\\n AND TRIM(\\\"booking_changes\\\") <> ''\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"babies\\\",\\n \\\"booking_changes_num\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"babies\\\"\\n ORDER BY \\\"booking_changes_num\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"babies\\\") AS \\\"n\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"group_ranks\\\" AS (\\n SELECT DISTINCT\\n \\\"babies\\\",\\n \\\"n\\\",\\n (1.0 + (0.9 * (\\\"n\\\" - 1))) AS \\\"rank_pos\\\",\\n CAST((1.0 + (0.9 * (\\\"n\\\" - 1))) AS INTEGER) AS \\\"lo_rank\\\",\\n CASE\\n WHEN ABS((1.0 + (0.9 * (\\\"n\\\" - 1))) - CAST((1.0 + (0.9 * (\\\"n\\\" - 1))) AS INTEGER)) < 1e-12\\n THEN CAST((1.0 + (0.9 * (\\\"n\\\" - 1))) AS INTEGER)\\n ELSE CAST((1.0 + (0.9 * (\\\"n\\\" - 1))) AS INTEGER) + 1\\n END AS \\\"hi_rank\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"n\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"babies\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = g.\\\"lo_rank\\\" THEN o.\\\"booking_changes_num\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = g.\\\"hi_rank\\\" THEN o.\\\"booking_changes_num\\\" END) AS \\\"hi_val\\\",\\n MAX(g.\\\"rank_pos\\\") AS \\\"rank_pos\\\",\\n MAX(g.\\\"lo_rank\\\") AS \\\"lo_rank\\\",\\n MAX(g.\\\"hi_rank\\\") AS \\\"hi_rank\\\"\\n FROM \\\"ordered\\\" AS o\\n JOIN \\\"group_ranks\\\" AS g\\n ON o.\\\"babies\\\" = g.\\\"babies\\\"\\n GROUP BY o.\\\"babies\\\"\\n)\\nSELECT\\n \\\"babies\\\",\\n CASE\\n WHEN \\\"hi_rank\\\" = \\\"lo_rank\\\" THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + ((\\\"rank_pos\\\" - \\\"lo_rank\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Implements the planned grouped percentile-point query for group_col=\\\"babies\\\" and measure_col=\\\"booking_changes\\\". Because SQLite does not support PERCENTILE_CONT and the source measure is stored as TEXT, the query emulates the 0.9 continuous percentile with window functions, numeric casting, and linear interpolation; it also applies the provided minimum group size of 5.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16692,"cached_input_tokens":15744,"output_tokens":2785,"reasoning_output_tokens":2070}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2851e05b354b1512f4150e10a8d805c7a1ec5399 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"babies\",\n CAST(\"booking_changes\" AS REAL) AS \"booking_changes_num\"\n FROM \"m12\"\n WHERE \"babies\" IS NOT NULL\n AND TRIM(\"babies\") <> ''\n AND \"booking_changes\" IS NOT NULL\n AND TRIM(\"booking_changes\") <> ''\n),\n\"ordered\" AS (\n SELECT\n \"babies\",\n \"booking_changes_num\",\n ROW_NUMBER() OVER (\n PARTITION BY \"babies\"\n ORDER BY \"booking_changes_num\"\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"babies\") AS \"n\"\n FROM \"base\"\n),\n\"group_ranks\" AS (\n SELECT DISTINCT\n \"babies\",\n \"n\",\n (1.0 + (0.9 * (\"n\" - 1))) AS \"rank_pos\",\n CAST((1.0 + (0.9 * (\"n\" - 1))) AS INTEGER) AS \"lo_rank\",\n CASE\n WHEN ABS((1.0 + (0.9 * (\"n\" - 1))) - CAST((1.0 + (0.9 * (\"n\" - 1))) AS INTEGER)) < 1e-12\n THEN CAST((1.0 + (0.9 * (\"n\" - 1))) AS INTEGER)\n ELSE CAST((1.0 + (0.9 * (\"n\" - 1))) AS INTEGER) + 1\n END AS \"hi_rank\"\n FROM \"ordered\"\n WHERE \"n\" >= 5\n),\n\"picked\" AS (\n SELECT\n o.\"babies\",\n MAX(CASE WHEN o.\"rn\" = g.\"lo_rank\" THEN o.\"booking_changes_num\" END) AS \"lo_val\",\n MAX(CASE WHEN o.\"rn\" = g.\"hi_rank\" THEN o.\"booking_changes_num\" END) AS \"hi_val\",\n MAX(g.\"rank_pos\") AS \"rank_pos\",\n MAX(g.\"lo_rank\") AS \"lo_rank\",\n MAX(g.\"hi_rank\") AS \"hi_rank\"\n FROM \"ordered\" AS o\n JOIN \"group_ranks\" AS g\n ON o.\"babies\" = g.\"babies\"\n GROUP BY o.\"babies\"\n)\nSELECT\n \"babies\",\n CASE\n WHEN \"hi_rank\" = \"lo_rank\" THEN \"lo_val\"\n ELSE \"lo_val\" + ((\"rank_pos\" - \"lo_rank\") * (\"hi_val\" - \"lo_val\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Implements the planned grouped percentile-point query for group_col=\"babies\" and measure_col=\"booking_changes\". Because SQLite does not support PERCENTILE_CONT and the source measure is stored as TEXT, the query emulates the 0.9 continuous percentile with window functions, numeric casting, and linear interpolation; it also applies the provided minimum group size of 5."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0e484094a887ddf05e9e507f1f811996c48c8467 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17184, "bytes_utf8": 17184, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 417, "bytes_utf8": 417, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16719, "cached_input_tokens": 12032, "output_tokens": 272, "reasoning_output_tokens": 166}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d8bb4abcbbbc6e92d858eb61d7ceeb66dfb1f65d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_bfbf733312b6b830", + "api_calls": 0, + "input_tokens": 16719, + "cached_input_tokens": 12032, + "output_tokens": 272, + "total_tokens": 16991, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10288.56, + "sql_execution_elapsed_ms_total": 70.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0af7ec6339bef4c43999856a511750f46775637f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:45.667296+00:00", + "ended_at": "2026-05-19T16:03:55.955886+00:00", + "elapsed_ms": 10288.56, + "prompt_metrics": { + "chars": 17184, + "bytes_utf8": 17184, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 772, + "bytes_utf8": 772, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 417, + "bytes_utf8": 417, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16719, + "cached_input_tokens": 12032, + "output_tokens": 272, + "reasoning_output_tokens": 166 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb9169900f2cb8b827f371c73dba8401f45dd65a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=customer_type, condition_col=market_segment.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "customer_type", + "condition_col": "market_segment", + "condition_value": "Corporate", + "positive_value": "Offline TA/TO", + "negative_value": "Corporate", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..62ed6588b227c8ac9e91daec33472bda2456d6c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-9a91-78a3-a033-eac313ce5bf3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"customer_type\\\",\\n AVG(CASE WHEN \\\"market_segment\\\" = 'Corporate' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"customer_type\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Computes the proportion of rows with market_segment = 'Corporate' within each customer_type group, following the planned Grouped Condition Rate template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16719,"cached_input_tokens":12032,"output_tokens":272,"reasoning_output_tokens":166}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b8d3ccdfd2cf9ac66dd2143f9d1360c938b824e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"customer_type\",\n AVG(CASE WHEN \"market_segment\" = 'Corporate' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m12\"\nGROUP BY \"customer_type\"\nORDER BY \"condition_rate\" DESC;","notes":"Computes the proportion of rows with market_segment = 'Corporate' within each customer_type group, following the planned Grouped Condition Rate template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b8ad865aa9ac84da7fcc662751d1c43b9f4ad124 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:03.769543+00:00", + "ended_at": "2026-05-19T16:09:07.105670+00:00", + "elapsed_ms": 3336.1, + "returncode": 1, + "prompt_metrics": { + "chars": 16979, + "bytes_utf8": 16979, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5cdbed0e9dfc24bb572c816d462f7e31080061e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:09:08.107363+00:00", + "ended_at": "2026-05-19T16:09:11.388134+00:00", + "elapsed_ms": 3280.74, + "returncode": 1, + "prompt_metrics": { + "chars": 16979, + "bytes_utf8": 16979, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d69c98af6da3cdddc1955bda236f48e82857ec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=is_canceled, measure_col=company.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "is_canceled", + "measure_col": "company", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 223.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d69c98af6da3cdddc1955bda236f48e82857ec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=is_canceled, measure_col=company.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "is_canceled", + "measure_col": "company", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 223.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cb5511922b5cde06c66f0fb2a43205a3a225ab0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-7521-7ba3-a54b-48a0e6849d2d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..37c95ee758e6e78d13d985d7b9ffbb96c49264b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-7521-7ba3-a54b-48a0e6849d2d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f516b84eeda538c514b39353ec758211fc4c240 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-85fc-79d1-a9fc-f4f23f2a0cab"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..20b67f514e0ceaf3dfe6db79508c8a67033d091b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-85fc-79d1-a9fc-f4f23f2a0cab"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1bba2a3faaa6654/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e3c09c88267fb2d4d012164efc4030b6f06b2e59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:57.485673+00:00", + "ended_at": "2026-05-19T16:07:00.698285+00:00", + "elapsed_ms": 3212.59, + "returncode": 1, + "prompt_metrics": { + "chars": 16908, + "bytes_utf8": 16908, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..191ed7db4b51f5844b7a72488ea55cd6758e2513 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:01.700714+00:00", + "ended_at": "2026-05-19T16:07:04.703232+00:00", + "elapsed_ms": 3002.49, + "returncode": 1, + "prompt_metrics": { + "chars": 16908, + "bytes_utf8": 16908, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e87c38e33983f8a3df02a10bfb4f0547e0f96ddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=previous_cancellations.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "previous_cancellations", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 161.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e87c38e33983f8a3df02a10bfb4f0547e0f96ddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=previous_cancellations.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "previous_cancellations", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 161.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1250cef63ae95c10ca4fd48d3320dbf8de386eca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-87bc-7802-97f9-466160a1a504"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..83ebe3661838471c492686decb4414e9c9bf2460 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-87bc-7802-97f9-466160a1a504"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5498c943d1783b7454c73090c6ee0a7cb61429b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-9853-7593-994d-31a2f05a5709"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b399cde3a01402df1a72cbf21ca4259be43bcbc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-9853-7593-994d-31a2f05a5709"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c248608ecae44372/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b3957edba330e1c799d9dbe3d13937741be15cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16946, "bytes_utf8": 16946, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16667, "cached_input_tokens": 12032, "output_tokens": 441, "reasoning_output_tokens": 327}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f32130b44e8243c4856baa5a77147dea998fe6d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_c584bea4cb45ded2", + "api_calls": 0, + "input_tokens": 16667, + "cached_input_tokens": 12032, + "output_tokens": 441, + "total_tokens": 17108, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11462.48, + "sql_execution_elapsed_ms_total": 74.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..434b3bb37a97a00a8c22a28809091300d389b6bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:24.718822+00:00", + "ended_at": "2026-05-19T15:30:36.181327+00:00", + "elapsed_ms": 11462.48, + "prompt_metrics": { + "chars": 16946, + "bytes_utf8": 16946, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 796, + "bytes_utf8": 796, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 432, + "bytes_utf8": 432, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16667, + "cached_input_tokens": 12032, + "output_tokens": 441, + "reasoning_output_tokens": 327 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..63b0dd944428ef8b27fc1e2785c61d819155ce56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=arrival_date_week_number, measure_col=stays_in_week_nights.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "arrival_date_week_number", + "measure_col": "stays_in_week_nights", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71bdee1362f2f816a17520ec8d68afdd8364d1aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-1271-7b80-9140-21094af5abb6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"arrival_date_week_number\\\",\\n SUM(CAST(\\\"stays_in_week_nights\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_week_number\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped numeric sum template with \\\"arrival_date_week_number\\\" as the group column and casts \\\"stays_in_week_nights\\\" from TEXT to INTEGER for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16667,"cached_input_tokens":12032,"output_tokens":441,"reasoning_output_tokens":327}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..209c8c4637685238046f6943049c077b93ab0073 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"arrival_date_week_number\",\n SUM(CAST(\"stays_in_week_nights\" AS INTEGER)) AS \"total_measure\"\nFROM \"m12\"\nGROUP BY \"arrival_date_week_number\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the planned grouped numeric sum template with \"arrival_date_week_number\" as the group column and casts \"stays_in_week_nights\" from TEXT to INTEGER for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..80e0d65845c95870b53357a568c1e1753606413e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:48.238376+00:00", + "ended_at": "2026-05-19T16:01:50.927516+00:00", + "elapsed_ms": 2689.12, + "returncode": 1, + "prompt_metrics": { + "chars": 17179, + "bytes_utf8": 17179, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..89244afaefe7829eddbbcb6ebcfc09c843cc547a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:51.929523+00:00", + "ended_at": "2026-05-19T16:01:55.224092+00:00", + "elapsed_ms": 3294.54, + "returncode": 1, + "prompt_metrics": { + "chars": 17179, + "bytes_utf8": 17179, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b707bd84fe83f29efc50956d90ebdc8f950413d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=booking_changes, condition_col=arrival_date_year.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "booking_changes", + "condition_col": "arrival_date_year", + "condition_value": "2016", + "positive_value": "2016", + "negative_value": "2017", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 43.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b707bd84fe83f29efc50956d90ebdc8f950413d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=booking_changes, condition_col=arrival_date_year.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "booking_changes", + "condition_col": "arrival_date_year", + "condition_value": "2016", + "positive_value": "2016", + "negative_value": "2017", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 43.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..72633ccc57fc82632b68675a490d9f709028bf2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-cfe7-7bd2-bb9c-0ca9e2063447"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2ecc25e4a905c93383d47295cbe284ef40029ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-cfe7-7bd2-bb9c-0ca9e2063447"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..23b6d4976dd5557702021e0c2e7d5e95073453b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-de35-7610-a4cb-b898993b1fe8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d87f10e6945e4a75dbcf16693944d74868900537 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-de35-7610-a4cb-b898993b1fe8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f66c9bb3c1bc11bd3f260654efa1f0509544c3b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17142, "bytes_utf8": 17142, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 478, "bytes_utf8": 478, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16720, "cached_input_tokens": 12032, "output_tokens": 405, "reasoning_output_tokens": 276}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..178a48cc74b02d00a4c6e59342c019d997a07f98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_c79f327b71cf1386", + "api_calls": 0, + "input_tokens": 16720, + "cached_input_tokens": 12032, + "output_tokens": 405, + "total_tokens": 17125, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11719.93, + "sql_execution_elapsed_ms_total": 59.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9990ea29bc27cca5f8d8a094d510f850ea3176d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:55.031216+00:00", + "ended_at": "2026-05-19T16:03:06.751178+00:00", + "elapsed_ms": 11719.93, + "prompt_metrics": { + "chars": 17142, + "bytes_utf8": 17142, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 841, + "bytes_utf8": 841, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 478, + "bytes_utf8": 478, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16720, + "cached_input_tokens": 12032, + "output_tokens": 405, + "reasoning_output_tokens": 276 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..71fb36dd28c63ef925fb00f329cd6ccff729e600 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=days_in_waiting_list, condition_col=meal.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "days_in_waiting_list", + "condition_col": "meal", + "condition_value": "BB", + "positive_value": "BB", + "negative_value": "SC", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3975ee784dd40ee501683a3cbd8c61cf72ccdf84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-d4d0-7bc1-bf2f-14818d2a70f6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"days_in_waiting_list\\\",\\n AVG(CASE WHEN \\\"meal\\\" = 'BB' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"days_in_waiting_list\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applies the Grouped Condition Rate template with group_col=\\\"days_in_waiting_list\\\" and condition_col=\\\"meal\\\", using the bound condition_value 'BB' to measure the share of BB meals within each waiting-list-day group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16720,"cached_input_tokens":12032,"output_tokens":405,"reasoning_output_tokens":276}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3337c0b8643aa4b020100cc25624ae2b7a757b1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"days_in_waiting_list\",\n AVG(CASE WHEN \"meal\" = 'BB' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m12\"\nGROUP BY \"days_in_waiting_list\"\nORDER BY \"condition_rate\" DESC;","notes":"Applies the Grouped Condition Rate template with group_col=\"days_in_waiting_list\" and condition_col=\"meal\", using the bound condition_value 'BB' to measure the share of BB meals within each waiting-list-day group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c79f327b71cf1386/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5a04c89302683284791e8f61f2cf7452463e8718 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17498, "bytes_utf8": 17498, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 968, "bytes_utf8": 968, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16799, "cached_input_tokens": 12032, "output_tokens": 727, "reasoning_output_tokens": 477}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..79462d7e41e0856c6555a81a37aee7ab1f2d2b3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_c883aafe233c21ca", + "api_calls": 0, + "input_tokens": 16799, + "cached_input_tokens": 12032, + "output_tokens": 727, + "total_tokens": 17526, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18429.36, + "sql_execution_elapsed_ms_total": 83.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a67df113712c7256a8bbd449cbd2a0535a71cd5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:02.211846+00:00", + "ended_at": "2026-05-19T15:48:20.641236+00:00", + "elapsed_ms": 18429.36, + "prompt_metrics": { + "chars": 17498, + "bytes_utf8": 17498, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1733, + "bytes_utf8": 1733, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 968, + "bytes_utf8": 968, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16799, + "cached_input_tokens": 12032, + "output_tokens": 727, + "reasoning_output_tokens": 477 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad25d88d5070da74c629b9e90f2de6960f12f29b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=assigned_room_type, measure_col=arrival_date_week_number.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "assigned_room_type", + "measure_col": "arrival_date_week_number", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 42.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f9761420429018574127608a0c386d0e6b1eb6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ec-35b1-7e63-adf5-77bc41ca34e3"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1994599, Requested 17434. Please try again in 360ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"assigned_room_type\\\",\\n SUM(CAST(NULLIF(\\\"arrival_date_week_number\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"assigned_room_type\\\" IS NOT NULL\\n AND \\\"assigned_room_type\\\" <> ''\\n AND NULLIF(\\\"arrival_date_week_number\\\", '') IS NOT NULL\\n GROUP BY \\\"assigned_room_type\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"assigned_room_type\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"assigned_room_type\\\" and measure_col=\\\"arrival_date_week_number\\\". Cast the measure from TEXT to REAL and filtered blank group/measure values for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16799,"cached_input_tokens":12032,"output_tokens":727,"reasoning_output_tokens":477}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ce5461b693442ce139c522d83420050c041277c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"assigned_room_type\",\n SUM(CAST(NULLIF(\"arrival_date_week_number\", '') AS REAL)) AS \"group_value\"\n FROM \"m12\"\n WHERE \"assigned_room_type\" IS NOT NULL\n AND \"assigned_room_type\" <> ''\n AND NULLIF(\"arrival_date_week_number\", '') IS NOT NULL\n GROUP BY \"assigned_room_type\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"assigned_room_type\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"assigned_room_type\" and measure_col=\"arrival_date_week_number\". Cast the measure from TEXT to REAL and filtered blank group/measure values for SQLite-safe aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c883aafe233c21ca/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f7f594cd397c5dfe3f7e5c3995c2360d3a1b916 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17369, "bytes_utf8": 17369, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 791, "bytes_utf8": 791, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16790, "cached_input_tokens": 12032, "output_tokens": 1114, "reasoning_output_tokens": 893}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ad21f87b838b31dddf626d06220e9fd520797af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_c91f005fa868c824", + "api_calls": 0, + "input_tokens": 16790, + "cached_input_tokens": 12032, + "output_tokens": 1114, + "total_tokens": 17904, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20427.41, + "sql_execution_elapsed_ms_total": 79.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..20b226fe65b17b016a07bb260d9e132ae56cc1fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:49.909610+00:00", + "ended_at": "2026-05-19T15:39:10.337056+00:00", + "elapsed_ms": 20427.41, + "prompt_metrics": { + "chars": 17369, + "bytes_utf8": 17369, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1186, + "bytes_utf8": 1186, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 791, + "bytes_utf8": 791, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16790, + "cached_input_tokens": 12032, + "output_tokens": 1114, + "reasoning_output_tokens": 893 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc3f1014c6c293331367c8cdb6e0e94e2297d2e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=arrival_date_week_number, measure_col=stays_in_weekend_nights.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "arrival_date_week_number", + "measure_col": "stays_in_weekend_nights", + "item_col": "days_in_waiting_list", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd773d480ee5459e7b9021653f68919ea6f629e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-c7c1-7cc0-9ff0-bffb8e934e49"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"arrival_date_week_number\\\",\\n \\\"days_in_waiting_list\\\",\\n SUM(CAST(\\\"stays_in_weekend_nights\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"stays_in_weekend_nights\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"stays_in_weekend_nights\\\" AS REAL))) OVER (PARTITION BY \\\"arrival_date_week_number\\\"), 0) AS \\\"share_within_group\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_week_number\\\", \\\"days_in_waiting_list\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"arrival_date_week_number\\\", item_col=\\\"days_in_waiting_list\\\", and measure_col=\\\"stays_in_weekend_nights\\\". The measure is cast to REAL because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16790,"cached_input_tokens":12032,"output_tokens":1114,"reasoning_output_tokens":893}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4c3f91b306b3bdccd41bbc3476c53616f864d2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"arrival_date_week_number\",\n \"days_in_waiting_list\",\n SUM(CAST(\"stays_in_weekend_nights\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"stays_in_weekend_nights\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"stays_in_weekend_nights\" AS REAL))) OVER (PARTITION BY \"arrival_date_week_number\"), 0) AS \"share_within_group\"\nFROM \"m12\"\nGROUP BY \"arrival_date_week_number\", \"days_in_waiting_list\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"arrival_date_week_number\", item_col=\"days_in_waiting_list\", and measure_col=\"stays_in_weekend_nights\". The measure is cast to REAL because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b7e21c2c2a5dede9d9e0cb89416612433a6e52d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16791, "bytes_utf8": 16791, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 271, "bytes_utf8": 271, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16626, "cached_input_tokens": 15744, "output_tokens": 270, "reasoning_output_tokens": 192}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..812d067844618d6bc4e048afe4fbd8043c8acaa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_c9c14c649cfa07fb", + "api_calls": 0, + "input_tokens": 16626, + "cached_input_tokens": 15744, + "output_tokens": 270, + "total_tokens": 16896, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8565.94, + "sql_execution_elapsed_ms_total": 60.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..106832a1b40a958e6d66986b27c8d923e8b47e75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:14.731934+00:00", + "ended_at": "2026-05-19T15:32:23.297904+00:00", + "elapsed_ms": 8565.94, + "prompt_metrics": { + "chars": 16791, + "bytes_utf8": 16791, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 629, + "bytes_utf8": 629, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 271, + "bytes_utf8": 271, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16626, + "cached_input_tokens": 15744, + "output_tokens": 270, + "reasoning_output_tokens": 192 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c5372c9ebffe29a69a92070f66e03ab5290a16e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=meal.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "meal", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 161.1, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3d7c0d7e2090d8e5d1a967592be1fd5f8c80318 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-c026-7d90-a634-b919d827fc76"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"meal\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"meal\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"meal\\\" on the single table \\\"m12\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16626,"cached_input_tokens":15744,"output_tokens":270,"reasoning_output_tokens":192}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5901f18f75cf4516bc113c9d2b652edfba47926a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"meal\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nGROUP BY \"meal\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"meal\" on the single table \"m12\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9a6db5cafef7df3a3d8f276415276536fe04f8d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17126, "bytes_utf8": 17126, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 648, "bytes_utf8": 648, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16713, "cached_input_tokens": 12032, "output_tokens": 659, "reasoning_output_tokens": 484}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f37fa5885d90124a967ebf3067c5f60442c6bce1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_ca86395ad57aeb97", + "api_calls": 0, + "input_tokens": 16713, + "cached_input_tokens": 12032, + "output_tokens": 659, + "total_tokens": 17372, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13916.58, + "sql_execution_elapsed_ms_total": 56.14, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..44a8945965ad6d7725f305143ee08f6a1a01f9f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:02.671872+00:00", + "ended_at": "2026-05-19T15:56:16.588486+00:00", + "elapsed_ms": 13916.58, + "prompt_metrics": { + "chars": 17126, + "bytes_utf8": 17126, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1010, + "bytes_utf8": 1010, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 648, + "bytes_utf8": 648, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16713, + "cached_input_tokens": 12032, + "output_tokens": 659, + "reasoning_output_tokens": 484 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17e75d59e20afabf9c94d9cfcfe1a2038dc8c28a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=stays_in_weekend_nights, measure_col=stays_in_weekend_nights.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "stays_in_weekend_nights", + "measure_col": "stays_in_weekend_nights", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca7fd099b5f8b3615d72bf8767101f16d0a0e77c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-8a0a-7940-ad1d-217cf42a491e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"stays_in_weekend_nights\\\",\\n MAX(CAST(\\\"stays_in_weekend_nights\\\" AS REAL)) AS percentile_measure\\nFROM \\\"m12\\\"\\nWHERE \\\"stays_in_weekend_nights\\\" IS NOT NULL\\n AND \\\"stays_in_weekend_nights\\\" <> ''\\nGROUP BY \\\"stays_in_weekend_nights\\\"\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT. Because both the group and measure columns are \\\"stays_in_weekend_nights\\\", each group contains a single repeated numeric value, so the 0.95 percentile for that group is exactly the group's value; MAX(CAST(... AS REAL)) returns that value in SQLite-compatible form.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16713,"cached_input_tokens":12032,"output_tokens":659,"reasoning_output_tokens":484}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..16604944e0f57ac59c845d73713b030e0e45f47a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"stays_in_weekend_nights\",\n MAX(CAST(\"stays_in_weekend_nights\" AS REAL)) AS percentile_measure\nFROM \"m12\"\nWHERE \"stays_in_weekend_nights\" IS NOT NULL\n AND \"stays_in_weekend_nights\" <> ''\nGROUP BY \"stays_in_weekend_nights\"\nORDER BY percentile_measure DESC;","notes":"SQLite has no PERCENTILE_CONT. Because both the group and measure columns are \"stays_in_weekend_nights\", each group contains a single repeated numeric value, so the 0.95 percentile for that group is exactly the group's value; MAX(CAST(... AS REAL)) returns that value in SQLite-compatible form."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..371f8f58b2a8a22d2d82e7f27f25254d09e1d94c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17465, "bytes_utf8": 17465, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 927, "bytes_utf8": 927, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16799, "cached_input_tokens": 15744, "output_tokens": 644, "reasoning_output_tokens": 377}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e8b2d5bd355f7a7d646ba384fec2b2eb2a47802c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_d0c7fb0aeffa205c", + "api_calls": 0, + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 644, + "total_tokens": 17443, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15873.4, + "sql_execution_elapsed_ms_total": 70.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b0c4f9f55c5cfea5841f5d54cb96a5f7c7591423 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:07.930104+00:00", + "ended_at": "2026-05-19T15:50:23.803527+00:00", + "elapsed_ms": 15873.4, + "prompt_metrics": { + "chars": 17465, + "bytes_utf8": 17465, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1360, + "bytes_utf8": 1360, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 927, + "bytes_utf8": 927, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 644, + "reasoning_output_tokens": 377 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab304e0862496ba8aae935ce4d1c324ee231cb3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=days_in_waiting_list, measure_col=adults.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "days_in_waiting_list", + "measure_col": "adults", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d257b27aaa9988ac305031b052b06cdc86474193 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-2044-7ce3-8793-7dc6396cd427"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n CAST(\\\"days_in_waiting_list\\\" AS INTEGER) AS \\\"days_in_waiting_list\\\",\\n SUM(CAST(\\\"adults\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n WHERE TRIM(COALESCE(\\\"days_in_waiting_list\\\", '')) <> ''\\n AND TRIM(COALESCE(\\\"adults\\\", '')) <> ''\\n GROUP BY CAST(\\\"days_in_waiting_list\\\" AS INTEGER)\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"days_in_waiting_list\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the requested template with group_col=\\\"days_in_waiting_list\\\" and measure_col=\\\"adults\\\". Added numeric casts and filtered blank values because both fields are stored as TEXT in the schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16799,"cached_input_tokens":15744,"output_tokens":644,"reasoning_output_tokens":377}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..268e2c2d06ad33e4dd84cea376e594dfd8dc1536 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n CAST(\"days_in_waiting_list\" AS INTEGER) AS \"days_in_waiting_list\",\n SUM(CAST(\"adults\" AS REAL)) AS \"group_value\"\n FROM \"m12\"\n WHERE TRIM(COALESCE(\"days_in_waiting_list\", '')) <> ''\n AND TRIM(COALESCE(\"adults\", '')) <> ''\n GROUP BY CAST(\"days_in_waiting_list\" AS INTEGER)\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"days_in_waiting_list\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Used the requested template with group_col=\"days_in_waiting_list\" and measure_col=\"adults\". Added numeric casts and filtered blank values because both fields are stored as TEXT in the schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d0c7fb0aeffa205c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d772e1f1240072e6508ff3b1942b98f5bfce37b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16824, "bytes_utf8": 16824, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 363, "bytes_utf8": 363, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16642, "cached_input_tokens": 12032, "output_tokens": 713, "reasoning_output_tokens": 608}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..08cba49ed41388c61bb5eba093af053e9ebeb8f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_db188f60e638c843", + "api_calls": 0, + "input_tokens": 16642, + "cached_input_tokens": 12032, + "output_tokens": 713, + "total_tokens": 17355, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14098.05, + "sql_execution_elapsed_ms_total": 19.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..02687b73952c320a9892e73d04f6a5dd6a6e7e37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:56.038297+00:00", + "ended_at": "2026-05-19T16:04:10.136377+00:00", + "elapsed_ms": 14098.05, + "prompt_metrics": { + "chars": 16824, + "bytes_utf8": 16824, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 711, + "bytes_utf8": 711, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 363, + "bytes_utf8": 363, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16642, + "cached_input_tokens": 12032, + "output_tokens": 713, + "reasoning_output_tokens": 608 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd657dd53fe7cba0e912a770d6e1921b2e2eeb72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=company.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "company", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 223.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..df71325a5c40d04cd4a4be2bdca01c1b811614bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-c31c-7a40-ab00-f422a3028a86"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN NULLIF(\\\"company\\\", '') IS NULL THEN NULL WHEN CAST(\\\"company\\\" AS REAL) <= 223.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m12\\\";\",\"notes\":\"Uses the Threshold Rarity CDF template on \\\"company\\\" with threshold 223.0; empty-string missing values are excluded from the AVG.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16642,"cached_input_tokens":12032,"output_tokens":713,"reasoning_output_tokens":608}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d7b5856eb372de2659c5183775607657d563b21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN NULLIF(\"company\", '') IS NULL THEN NULL WHEN CAST(\"company\" AS REAL) <= 223.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m12\";","notes":"Uses the Threshold Rarity CDF template on \"company\" with threshold 223.0; empty-string missing values are excluded from the AVG."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_db188f60e638c843/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..80ae90b25314072b54b2b482b09d434d86de4dab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17493, "bytes_utf8": 17493, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 725, "bytes_utf8": 725, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16797, "cached_input_tokens": 15744, "output_tokens": 468, "reasoning_output_tokens": 289}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5305eed3fc98023a6355beb3ae8e65d6e5bb46b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_dd156e557b3f9578", + "api_calls": 0, + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 468, + "total_tokens": 17265, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18575.18, + "sql_execution_elapsed_ms_total": 99.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f52e8e10c44182509544254f601528279a4d1ca3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:33.325065+00:00", + "ended_at": "2026-05-19T15:48:51.900273+00:00", + "elapsed_ms": 18575.18, + "prompt_metrics": { + "chars": 17493, + "bytes_utf8": 17493, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1426, + "bytes_utf8": 1426, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 725, + "bytes_utf8": 725, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 468, + "reasoning_output_tokens": 289 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9eb52a336908fd34b39fea9ef301eccf69a72b8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=booking_changes, measure_col=arrival_date_day_of_month.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "booking_changes", + "measure_col": "arrival_date_day_of_month", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 13.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2cacc396e18cef398f921d270a3366cf51d222b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ec-aeba-7fe1-90e2-ecfd809d1f0f"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1983475, Requested 17432. Please try again in 27ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"booking_changes\\\",\\n SUM(CAST(NULLIF(\\\"arrival_date_day_of_month\\\", '') AS REAL)) AS group_value\\n FROM \\\"m12\\\"\\n GROUP BY \\\"booking_changes\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"booking_changes\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"booking_changes\\\" and measure_col=\\\"arrival_date_day_of_month\\\"; cast the measure because the schema stores values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16797,"cached_input_tokens":15744,"output_tokens":468,"reasoning_output_tokens":289}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d55a546bb621683cba83c3ad521544238efe0d68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"booking_changes\",\n SUM(CAST(NULLIF(\"arrival_date_day_of_month\", '') AS REAL)) AS group_value\n FROM \"m12\"\n GROUP BY \"booking_changes\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"booking_changes\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"booking_changes\" and measure_col=\"arrival_date_day_of_month\"; cast the measure because the schema stores values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dd156e557b3f9578/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..476fb07a9e43c7dd14868f89c8f0bf3d9859e1a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17729, "bytes_utf8": 17729, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 737, "bytes_utf8": 737, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16865, "cached_input_tokens": 12032, "output_tokens": 722, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..34e82faa7c42fa01d0a3387fd9e9ce6e5d2552bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_dfbd2f68b99bcdd8", + "api_calls": 0, + "input_tokens": 16865, + "cached_input_tokens": 12032, + "output_tokens": 722, + "total_tokens": 17587, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13341.09, + "sql_execution_elapsed_ms_total": 64.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..50d01891679d76ab957320e28437733ece7a4e01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:27.232572+00:00", + "ended_at": "2026-05-19T15:40:40.573691+00:00", + "elapsed_ms": 13341.09, + "prompt_metrics": { + "chars": 17729, + "bytes_utf8": 17729, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1144, + "bytes_utf8": 1144, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 737, + "bytes_utf8": 737, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16865, + "cached_input_tokens": 12032, + "output_tokens": 722, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41729434d057e85369ded0606992d57b024a5105 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=children, condition_col=deposit_type.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "children", + "condition_col": "deposit_type", + "condition_value": "No Deposit", + "positive_value": "No Deposit", + "negative_value": "Non Refund", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..68e7e30f112a38dff390b0509379a9014c3da898 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-4404-79e0-b9bd-cc8e3405ee49"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"children\\\",\\n SUM(CASE WHEN \\\"deposit_type\\\" = 'No Deposit' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"deposit_type\\\" = 'Non Refund' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m12\\\"\\n GROUP BY \\\"children\\\"\\n)\\nSELECT\\n \\\"children\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Computes, for each \\\"children\\\" group, the ratio of rows with \\\"deposit_type\\\" = 'No Deposit' to rows with \\\"deposit_type\\\" = 'Non Refund', following the planned grouped ratio template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16865,"cached_input_tokens":12032,"output_tokens":722,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dbd1f51f42ce509f762a03d035ca065dfe87c58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT\n \"children\",\n SUM(CASE WHEN \"deposit_type\" = 'No Deposit' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"deposit_type\" = 'Non Refund' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m12\"\n GROUP BY \"children\"\n)\nSELECT\n \"children\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;","notes":"Computes, for each \"children\" group, the ratio of rows with \"deposit_type\" = 'No Deposit' to rows with \"deposit_type\" = 'Non Refund', following the planned grouped ratio template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dfbd2f68b99bcdd8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d2b3c6fab40a1215769dbf5783a009bfac60fba2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17053, "bytes_utf8": 17053, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 645, "bytes_utf8": 645, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16706, "cached_input_tokens": 15744, "output_tokens": 632, "reasoning_output_tokens": 450}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5cc52b549af423b5911489356c4cbcb23944ab52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_e1847ae336af4adf", + "api_calls": 0, + "input_tokens": 16706, + "cached_input_tokens": 15744, + "output_tokens": 632, + "total_tokens": 17338, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15234.89, + "sql_execution_elapsed_ms_total": 188.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1efc7e41865632770ea13d8419bcd26c0e062c45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:35.394606+00:00", + "ended_at": "2026-05-19T15:46:50.629529+00:00", + "elapsed_ms": 15234.89, + "prompt_metrics": { + "chars": 17053, + "bytes_utf8": 17053, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1035, + "bytes_utf8": 1035, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 645, + "bytes_utf8": 645, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16706, + "cached_input_tokens": 15744, + "output_tokens": 632, + "reasoning_output_tokens": 450 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..919469e7220eb537d31c7fcaed854b676cc5dcf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=agent.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "agent", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffa0481cdf45171128db7aced90db2818f60f944 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-e277-7cf3-959f-2983c48115c0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"agent\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"agent\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"agent\\\" IS NOT NULL\\n AND TRIM(\\\"agent\\\") <> ''\\n)\\nSELECT \\\"agent\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"agent\\\" AS REAL) DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with measure_col bound to \\\"agent\\\" and num_tiles=10. Casted \\\"agent\\\" to REAL for numeric ordering because the schema stores it as TEXT, and excluded blank values to avoid treating missing agents as zeros in the tail slice.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16706,"cached_input_tokens":15744,"output_tokens":632,"reasoning_output_tokens":450}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..778d5727d152359ca5d3d0e7b94602bbf9decb7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"agent\",\n NTILE(10) OVER (ORDER BY CAST(\"agent\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m12\"\n WHERE \"agent\" IS NOT NULL\n AND TRIM(\"agent\") <> ''\n)\nSELECT \"agent\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"agent\" AS REAL) DESC;","notes":"Used the planned Quantile Tail Slice template with measure_col bound to \"agent\" and num_tiles=10. Casted \"agent\" to REAL for numeric ordering because the schema stores it as TEXT, and excluded blank values to avoid treating missing agents as zeros in the tail slice."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e1847ae336af4adf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a8ae1d7d1990f68ec0d2fc2211f622924ce2e292 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17159, "bytes_utf8": 17159, "lines": 483, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16721, "cached_input_tokens": 12032, "output_tokens": 384, "reasoning_output_tokens": 280}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9791f0b7e564e126482dce086ed19314932e0c33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_e44302143ddafe6f", + "api_calls": 0, + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 384, + "total_tokens": 17105, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9477.15, + "sql_execution_elapsed_ms_total": 63.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4fd63141b24fbf4d30cf64716795698f19f786cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:38.686728+00:00", + "ended_at": "2026-05-19T16:01:48.163903+00:00", + "elapsed_ms": 9477.15, + "prompt_metrics": { + "chars": 17159, + "bytes_utf8": 17159, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 724, + "bytes_utf8": 724, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 373, + "bytes_utf8": 373, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 384, + "reasoning_output_tokens": 280 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f3f3f964bbdaa09f991113956b6583dfa950368 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,483 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=assigned_room_type, condition_col=is_canceled.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "assigned_room_type", + "condition_col": "is_canceled", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2016.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..57f49b9aa1b662662b60fc4bfac515645f982ecd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-aa98-7f40-9922-e0502a36f6b4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"assigned_room_type\\\",\\n AVG(CASE WHEN \\\"is_canceled\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"assigned_room_type\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the within-group cancellation rate for each assigned room type, using \\\"is_canceled\\\" = '1' as the condition.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16721,"cached_input_tokens":12032,"output_tokens":384,"reasoning_output_tokens":280}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..70eaa8e6f76e1af9638725f774210eb3c45d820c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"assigned_room_type\",\n AVG(CASE WHEN \"is_canceled\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m12\"\nGROUP BY \"assigned_room_type\"\nORDER BY condition_rate DESC;","notes":"Computes the within-group cancellation rate for each assigned room type, using \"is_canceled\" = '1' as the condition."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a977da47342380d59caa783143a5bc3623534aae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:10:16.391249+00:00", + "ended_at": "2026-05-19T16:10:19.262975+00:00", + "elapsed_ms": 2871.69, + "returncode": 1, + "prompt_metrics": { + "chars": 17007, + "bytes_utf8": 17007, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8304327b885d7dc9955dce450449d36cdb75b9ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:10:20.265869+00:00", + "ended_at": "2026-05-19T16:10:23.343028+00:00", + "elapsed_ms": 3077.13, + "returncode": 1, + "prompt_metrics": { + "chars": 17007, + "bytes_utf8": 17007, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5c1bfec6d5e86486b238d395b0b97ff0c043215 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=arrival_date_week_number, measure_col=lead_time.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_week_number", + "measure_col": "lead_time", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 42.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5c1bfec6d5e86486b238d395b0b97ff0c043215 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=arrival_date_week_number, measure_col=lead_time.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_week_number", + "measure_col": "lead_time", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 42.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ff7d9fbccbb410b2eec45d80665b4ac4f2f6277 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-90e3-7c42-8899-85ed35fac0a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f7a6df606e21cbd576e48dd14b047d77a6b4eed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-90e3-7c42-8899-85ed35fac0a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae1b09bf5967c0913f37426b59ce659b938c8615 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-9ffb-7aa2-9d0b-e8489f0ccc13"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e38a9cad27489b466ed20b5156f0b5397cdb0aa7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-9ffb-7aa2-9d0b-e8489f0ccc13"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e9dd7113d53329ea/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c86abdfb300347bf3bf469b4eb574c138d1e68ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17320, "bytes_utf8": 17320, "lines": 482, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 738, "bytes_utf8": 738, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16775, "cached_input_tokens": 12032, "output_tokens": 713, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..94dc2cc598c77cfa6000869ad2db6d1d7efdf557 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_ed9ec34048a49f07", + "api_calls": 0, + "input_tokens": 16775, + "cached_input_tokens": 12032, + "output_tokens": 713, + "total_tokens": 17488, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14496.35, + "sql_execution_elapsed_ms_total": 111.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4f1f5a2a9d72bcd1227878fc7c286a04233ad63e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:52.568818+00:00", + "ended_at": "2026-05-19T15:36:07.065202+00:00", + "elapsed_ms": 14496.35, + "prompt_metrics": { + "chars": 17320, + "bytes_utf8": 17320, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1123, + "bytes_utf8": 1123, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 738, + "bytes_utf8": 738, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16775, + "cached_input_tokens": 12032, + "output_tokens": 713, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..671334287529aa3d6838df48a888a2d059be2392 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,482 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=reservation_status, measure_col=adr.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "reservation_status", + "measure_col": "adr", + "item_col": "stays_in_week_nights", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 146.304, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8c407d61608a8045296eb992f1362dff2faedb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-1307-7251-a57b-da81813130d4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"reservation_status\\\", \\\"stays_in_week_nights\\\",\\n SUM(CAST(NULLIF(\\\"adr\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"adr\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"adr\\\", '') AS REAL))) OVER (PARTITION BY \\\"reservation_status\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"reservation_status\\\", \\\"stays_in_week_nights\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested Within-Group Share of Total template with group_col=\\\"reservation_status\\\", item_col=\\\"stays_in_week_nights\\\", and measure_col=\\\"adr\\\". \\\"adr\\\" is cast from TEXT to REAL, and empty strings are treated as NULL so they do not contribute to the sums.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16775,"cached_input_tokens":12032,"output_tokens":713,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..10251befcd9ddc2ecf02153ced46b7d1991d1497 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"reservation_status\", \"stays_in_week_nights\",\n SUM(CAST(NULLIF(\"adr\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"adr\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"adr\", '') AS REAL))) OVER (PARTITION BY \"reservation_status\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"reservation_status\", \"stays_in_week_nights\"\nORDER BY share_within_group DESC;","notes":"Uses the requested Within-Group Share of Total template with group_col=\"reservation_status\", item_col=\"stays_in_week_nights\", and measure_col=\"adr\". \"adr\" is cast from TEXT to REAL, and empty strings are treated as NULL so they do not contribute to the sums."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ed9ec34048a49f07/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..672505b3335e9a647c866efa958cb5a078c4f88d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17110, "bytes_utf8": 17110, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1006, "bytes_utf8": 1006, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16698, "cached_input_tokens": 15744, "output_tokens": 2412, "reasoning_output_tokens": 2132}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c974b33451ab890f4375db39297ddfc46fb1eb38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_f2cc7e0dadcc97dd", + "api_calls": 0, + "input_tokens": 16698, + "cached_input_tokens": 15744, + "output_tokens": 2412, + "total_tokens": 19110, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 34832.66, + "sql_execution_elapsed_ms_total": 274.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3de409dc4ac0c73096d1318cd56e095b4fab5b2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:26.215123+00:00", + "ended_at": "2026-05-19T15:55:01.047804+00:00", + "elapsed_ms": 34832.66, + "prompt_metrics": { + "chars": 17110, + "bytes_utf8": 17110, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1445, + "bytes_utf8": 1445, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1006, + "bytes_utf8": 1006, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16698, + "cached_input_tokens": 15744, + "output_tokens": 2412, + "reasoning_output_tokens": 2132 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed8272b38314806f4c1c02bd9af122bfc2957a28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=arrival_date_month, measure_col=arrival_date_year.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "arrival_date_month", + "measure_col": "arrival_date_year", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2016.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5df0a18fbf7005f5ae90b84617da77b98b7eb2f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-1147-7c73-b31e-8954a3d658d6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"arrival_date_month\\\",\\n CAST(\\\"arrival_date_year\\\" AS INTEGER) AS \\\"arrival_date_year_num\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"arrival_date_month\\\"\\n ORDER BY CAST(\\\"arrival_date_year\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"arrival_date_month\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"arrival_date_month\\\" IS NOT NULL\\n AND TRIM(\\\"arrival_date_month\\\") <> ''\\n AND \\\"arrival_date_year\\\" IS NOT NULL\\n AND TRIM(\\\"arrival_date_year\\\") <> ''\\n)\\nSELECT\\n \\\"arrival_date_month\\\",\\n \\\"arrival_date_year_num\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CAST(((\\\"cnt\\\" * 95) + 99) / 100 AS INTEGER)\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"arrival_date_month\\\" ASC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 95th percentile within each arrival month and casts the TEXT year values to INTEGER.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16698,"cached_input_tokens":15744,"output_tokens":2412,"reasoning_output_tokens":2132}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e97ddad6f30a5167a8626b40cfd319a4c1a6f51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"arrival_date_month\",\n CAST(\"arrival_date_year\" AS INTEGER) AS \"arrival_date_year_num\",\n ROW_NUMBER() OVER (\n PARTITION BY \"arrival_date_month\"\n ORDER BY CAST(\"arrival_date_year\" AS INTEGER)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"arrival_date_month\"\n ) AS \"cnt\"\n FROM \"m12\"\n WHERE \"arrival_date_month\" IS NOT NULL\n AND TRIM(\"arrival_date_month\") <> ''\n AND \"arrival_date_year\" IS NOT NULL\n AND TRIM(\"arrival_date_year\") <> ''\n)\nSELECT\n \"arrival_date_month\",\n \"arrival_date_year_num\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CAST(((\"cnt\" * 95) + 99) / 100 AS INTEGER)\nORDER BY \"percentile_measure\" DESC, \"arrival_date_month\" ASC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 95th percentile within each arrival month and casts the TEXT year values to INTEGER."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cc7e0dadcc97dd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1f0e0b639353d38bb9bcbb0c64b95308a6ffebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16817, "bytes_utf8": 16817, "lines": 478, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 306, "bytes_utf8": 306, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16630, "cached_input_tokens": 12032, "output_tokens": 198, "reasoning_output_tokens": 118}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5af215de7bd14b49da57e84316ab8c7f2cb80c6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_f452198a9973ad73", + "api_calls": 0, + "input_tokens": 16630, + "cached_input_tokens": 12032, + "output_tokens": 198, + "total_tokens": 16828, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 6976.57, + "sql_execution_elapsed_ms_total": 77.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c2414a21807b2ea45c6879cfe3f278b85428c8d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:56.007203+00:00", + "ended_at": "2026-05-19T15:34:02.983806+00:00", + "elapsed_ms": 6976.57, + "prompt_metrics": { + "chars": 16817, + "bytes_utf8": 16817, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 656, + "bytes_utf8": 656, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 306, + "bytes_utf8": 306, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16630, + "cached_input_tokens": 12032, + "output_tokens": 198, + "reasoning_output_tokens": 118 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..89394eb0f4258d54c0ca8f9ba5fafccbcc7d6604 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,478 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=assigned_room_type.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "assigned_room_type", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..44c0a546b8875a4db6f667b98a66e9be1ff43596 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-4bb4-7ac1-a2f5-3b8204aebf3e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"assigned_room_type\\\", COUNT(*) AS row_count\\nFROM \\\"m12\\\"\\nGROUP BY \\\"assigned_room_type\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"assigned_room_type\\\" on the single table \\\"m12\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16630,"cached_input_tokens":12032,"output_tokens":198,"reasoning_output_tokens":118}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31077de3fde06f065c6c6a12ad041a83ff50e47b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"assigned_room_type\", COUNT(*) AS row_count\nFROM \"m12\"\nGROUP BY \"assigned_room_type\"\nORDER BY row_count DESC;","notes":"Uses the provided grouped-count template with group_col bound to \"assigned_room_type\" on the single table \"m12\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f452198a9973ad73/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b792d59da08c5807ea3f3c0e4f84cf4f728f66f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17452, "bytes_utf8": 17452, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 818, "bytes_utf8": 818, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16791, "cached_input_tokens": 15744, "output_tokens": 705, "reasoning_output_tokens": 473}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..60cda06dab00efab18169cefc1f8c89a3a402b87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_fa7b4f537ae5028a", + "api_calls": 0, + "input_tokens": 16791, + "cached_input_tokens": 15744, + "output_tokens": 705, + "total_tokens": 17496, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12941.07, + "sql_execution_elapsed_ms_total": 69.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7db8dfdd193e05ae5ba8aee88f12469cfa99b222 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:23.885239+00:00", + "ended_at": "2026-05-19T15:50:36.826335+00:00", + "elapsed_ms": 12941.07, + "prompt_metrics": { + "chars": 17452, + "bytes_utf8": 17452, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1247, + "bytes_utf8": 1247, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 818, + "bytes_utf8": 818, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16791, + "cached_input_tokens": 15744, + "output_tokens": 705, + "reasoning_output_tokens": 473 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..113fb2c2f06055f84a13a38f08885db724bb18a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=customer_type, measure_col=children.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "customer_type", + "measure_col": "children", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e42f8a6d05744ac5474238a44d4f2812400ea0e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-5ea1-7aa0-836f-48b2f7b35067"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"customer_type\\\",\\n SUM(\\n CASE\\n WHEN TRIM(COALESCE(\\\"children\\\", '')) <> '' THEN CAST(\\\"children\\\" AS REAL)\\n ELSE NULL\\n END\\n ) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n GROUP BY \\\"customer_type\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"customer_type\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the planned relative-to-total threshold template with \\\"customer_type\\\" as the grouping column and \\\"children\\\" as the measure, casting non-empty text values to REAL so SQLite can sum them safely.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16791,"cached_input_tokens":15744,"output_tokens":705,"reasoning_output_tokens":473}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..664eb4dacfb720b5d8a66b5647c94acf51c40a0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"customer_type\",\n SUM(\n CASE\n WHEN TRIM(COALESCE(\"children\", '')) <> '' THEN CAST(\"children\" AS REAL)\n ELSE NULL\n END\n ) AS \"group_value\"\n FROM \"m12\"\n GROUP BY \"customer_type\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"customer_type\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Uses the planned relative-to-total threshold template with \"customer_type\" as the grouping column and \"children\" as the measure, casting non-empty text values to REAL so SQLite can sum them safely."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bf37caec18e3d0f4eeeda0b86518eaee7958e7bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16884, "bytes_utf8": 16884, "lines": 480, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 363, "bytes_utf8": 363, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16653, "cached_input_tokens": 12288, "output_tokens": 272, "reasoning_output_tokens": 174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2f0d565cad4f31fd8e37604e4c6153886c48da56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m12", + "model": "v2-cli:codex", + "run_id": "v2q_m12_fec8201590938f7d", + "api_calls": 0, + "input_tokens": 16653, + "cached_input_tokens": 12288, + "output_tokens": 272, + "total_tokens": 16925, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8961.28, + "sql_execution_elapsed_ms_total": 69.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fc1fdf60c3469d653cac9ba802e7909097354244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:17.989055+00:00", + "ended_at": "2026-05-19T15:28:26.950361+00:00", + "elapsed_ms": 8961.28, + "prompt_metrics": { + "chars": 16884, + "bytes_utf8": 16884, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 721, + "bytes_utf8": 721, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 363, + "bytes_utf8": 363, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16653, + "cached_input_tokens": 12288, + "output_tokens": 272, + "reasoning_output_tokens": 174 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a73b7e3db3701f7eadc9f2d0fb43abf8864edf57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,480 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m12 +- dataset_name: Hotel Booking Demand +- table_name: m12 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`. +- task_type: classification +- target_column: customer_type +- main_row_count: 119390 +- important_fields: +- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel. +- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled. +- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time. +- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year. +- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month. +- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number. +- arrival_date_day_of_month: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date day of month. +- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights. +- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights. +- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults. +- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children. +- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies. +- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal. +- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country. +- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment. +- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel. +- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest. +- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations. +- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled. +- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type. +- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type. +- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes. +- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type. +- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent. +- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company. +- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list. +- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type. +- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr. +- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces. +- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests. +- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status. +- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date. +- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']] +- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country'] +- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand + +SQLite schema snapshot: +{ + "table_name": "m12", + "quoted_table_name": "\"m12\"", + "row_count": 119390, + "columns": [ + { + "name": "hotel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "lead_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_year", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_week_number", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "arrival_date_day_of_month", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_weekend_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "stays_in_week_nights", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adults", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "babies", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "meal", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "country", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "market_segment", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "distribution_channel", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "is_repeated_guest", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_cancellations", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "previous_bookings_not_canceled", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reserved_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "assigned_room_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "booking_changes", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "deposit_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "agent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "company", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "days_in_waiting_list", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "customer_type", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "adr", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "required_car_parking_spaces", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "total_of_special_requests", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "reservation_status_date", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "342", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "3", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "737", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "0", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "PRT", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "C", + "assigned_room_type": "C", + "booking_changes": "4", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "0", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-01" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "7", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Direct", + "distribution_channel": "Direct", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "C", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "13", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "1", + "adults": "1", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Corporate", + "distribution_channel": "Corporate", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "304", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "75", + "required_car_parking_spaces": "0", + "total_of_special_requests": "0", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-02" + }, + { + "hotel": "Resort Hotel", + "is_canceled": "0", + "lead_time": "14", + "arrival_date_year": "2015", + "arrival_date_month": "July", + "arrival_date_week_number": "27", + "arrival_date_day_of_month": "1", + "stays_in_weekend_nights": "0", + "stays_in_week_nights": "2", + "adults": "2", + "children": "0", + "babies": "0", + "meal": "BB", + "country": "GBR", + "market_segment": "Online TA", + "distribution_channel": "TA/TO", + "is_repeated_guest": "0", + "previous_cancellations": "0", + "previous_bookings_not_canceled": "0", + "reserved_room_type": "A", + "assigned_room_type": "A", + "booking_changes": "0", + "deposit_type": "No Deposit", + "agent": "240", + "company": "", + "days_in_waiting_list": "0", + "customer_type": "Transient", + "adr": "98", + "required_car_parking_spaces": "0", + "total_of_special_requests": "1", + "reservation_status": "Check-Out", + "reservation_status_date": "2015-07-03" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m12", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=hotel, measure_col=lead_time.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "hotel", + "measure_col": "lead_time", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 53.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6502ec993a5321ea94b77f2bda13edb98a2da2cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-233c-7b33-b3ed-26bda4c65b0e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"hotel\\\", SUM(CAST(\\\"lead_time\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"hotel\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"hotel\\\" and measure_col=\\\"lead_time\\\". CAST is applied because the SQLite schema stores \\\"lead_time\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16653,"cached_input_tokens":12288,"output_tokens":272,"reasoning_output_tokens":174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d91ba28d9b5b86327a9a8a9921b68fc8ae2e492 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"hotel\", SUM(CAST(\"lead_time\" AS NUMERIC)) AS total_measure\nFROM \"m12\"\nGROUP BY \"hotel\"\nORDER BY total_measure DESC;","notes":"Used the planned Grouped Numeric Sum template with group_col=\"hotel\" and measure_col=\"lead_time\". CAST is applied because the SQLite schema stores \"lead_time\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_113c51e26f926028/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_113c51e26f926028/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..de77e89786f9599b747f0a70c936d451e5d7d413 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_113c51e26f926028/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:12:27.082470+00:00", + "ended_at": "2026-05-19T16:12:35.230601+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_113c51e26f926028", + "problem_id": "v2p_n19_356b7b339c07d08b", + "dataset_id": "n19", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=pixel105, measure_col=pixel120.", + "bindings": { + "group_col": "pixel105", + "measure_col": "pixel120", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 101.44, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_113c51e26f926028/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_113c51e26f926028/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a6ed9c48bc0d052c1521c36d74aa59af6b029e1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_113c51e26f926028/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:30.758578+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3543.92, "started_at": "2026-05-19T16:12:27.213227+00:00", "ended_at": "2026-05-19T16:12:30.757178+00:00", "prompt_metrics": {"chars": 311105, "bytes_utf8": 311105, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4102-8fe1-71e3-8f9c-dfb266c7520a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:12:35.230477+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3459.99, "started_at": "2026-05-19T16:12:31.768626+00:00", "ended_at": "2026-05-19T16:12:35.228663+00:00", "prompt_metrics": {"chars": 311105, "bytes_utf8": 311105, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4102-a19d-7c73-80b2-6ee05f37b81b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_1a568b54781c0e38/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_1a568b54781c0e38/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..88346a55e0a5e115f4df0c1f50153f59c1e811c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_1a568b54781c0e38/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:10:58.145906+00:00", + "ended_at": "2026-05-19T16:11:05.942778+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_1a568b54781c0e38", + "problem_id": "v2p_n19_3d0b4e886e4bfab1", + "dataset_id": "n19", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=pixel100, measure_col=pixel115.", + "bindings": { + "group_col": "pixel100", + "measure_col": "pixel115", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 50.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_1a568b54781c0e38/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_1a568b54781c0e38/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f675c2496783118fc3bf49455ce037043ba64ccd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_1a568b54781c0e38/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:01.168415+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 2895.27, "started_at": "2026-05-19T16:10:58.271670+00:00", "ended_at": "2026-05-19T16:11:01.166978+00:00", "prompt_metrics": {"chars": 311101, "bytes_utf8": 311101, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-3464-7832-a5f2-4f59fe2fdeeb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:11:05.942682+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3766.92, "started_at": "2026-05-19T16:11:02.174336+00:00", "ended_at": "2026-05-19T16:11:05.941291+00:00", "prompt_metrics": {"chars": 311101, "bytes_utf8": 311101, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-439d-7f50-94ca-e01559283f91\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..07e71113db4865a1ff49a3944ce72d23cc705808 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pixel92. +Result preview: [{"pixel92": 255}, {"pixel92": 255}, {"pixel92": 255}, {"pixel92": 255}, {"pixel92": 255}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0756647b8e7ede58d80efd0254dbfba208e32964 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n19_2795727fd618dfe5 +-- problem_id: v2p_n19_80581069b2a9a15b +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("pixel92" AS INTEGER) AS "pixel92", + NTILE(10) OVER (ORDER BY CAST("pixel92" AS INTEGER) DESC) AS "tail_bucket" + FROM "n19" + WHERE "pixel92" IS NOT NULL +) +SELECT "pixel92" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "pixel92" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c54edf18a63b516955eaa01476c04d60b2a8ce4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT CAST(\"pixel92\" AS INTEGER) AS \"pixel92\",\n NTILE(10) OVER (ORDER BY CAST(\"pixel92\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"n19\"\n WHERE \"pixel92\" IS NOT NULL\n)\nSELECT \"pixel92\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"pixel92\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"pixel92\\\" AS INTEGER) AS \\\"pixel92\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"pixel92\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n19\\\"\\n WHERE \\\"pixel92\\\" IS NOT NULL\\n)\\nSELECT \\\"pixel92\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"pixel92\\\" DESC;\", \"columns\": [\"pixel92\"], \"rows\": [{\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}, {\"pixel92\": 255}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 182.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7d9733219070ea31ad7ccbebd584cec29dc4155e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:06:45.979116+00:00", + "ended_at": "2026-05-19T16:07:02.003219+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_2795727fd618dfe5", + "problem_id": "v2p_n19_80581069b2a9a15b", + "dataset_id": "n19", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pixel92.", + "bindings": { + "measure_col": "pixel92", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 101.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=67" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_2795727fd618dfe5.sql", + "usage_summary": { + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_2795727fd618dfe5", + "api_calls": 0, + "input_tokens": 101230, + "cached_input_tokens": 0, + "output_tokens": 685, + "total_tokens": 101915, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15702.42, + "sql_execution_elapsed_ms_total": 182.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20d33ab3d1b005bbe4c4ea6a0f1df50885dacf69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:07:01.818314+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15702.42, "started_at": "2026-05-19T16:06:46.114411+00:00", "ended_at": "2026-05-19T16:07:01.816867+00:00", "prompt_metrics": {"chars": 311093, "bytes_utf8": 311093, "lines": 9514, "estimated_tokens": null}, "response_metrics": {"chars": 591, "bytes_utf8": 591, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 101230, "cached_input_tokens": 0, "output_tokens": 685, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"pixel92\\\" AS INTEGER) AS \\\"pixel92\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"pixel92\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n19\\\"\\n WHERE \\\"pixel92\\\" IS NOT NULL\\n)\\nSELECT \\\"pixel92\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"pixel92\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=\\\"pixel92\\\" and num_tiles=10. Casted \\\"pixel92\\\" to INTEGER because the SQLite column is stored as TEXT while the task treats it as a numeric measure.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c0a3392912f68d665490656662b0a39a186f619 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_2795727fd618dfe5", + "api_calls": 0, + "input_tokens": 101230, + "cached_input_tokens": 0, + "output_tokens": 685, + "total_tokens": 101915, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15702.42, + "sql_execution_elapsed_ms_total": 182.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_2795727fd618dfe5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9a7d6f428f0ad39af88ede23c83c26bb3d7bcc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pixel1, measure_col=pixel6. +Result preview: [{"pixel1": "0", "total_measure": 28383}, {"pixel1": "1", "total_measure": 204}, {"pixel1": "16", "total_measure": 16}, {"pixel1": "4", "total_measure": 4}, {"pixel1": "2", "total_measure": 2}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..47b853ebf0388ed86e333c7dda234d4dd693b455 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_360664b3897e4ce6 +-- problem_id: v2p_n19_d0ebdcfd271ee2f5 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", SUM(CAST("pixel6" AS INTEGER)) AS "total_measure" +FROM "n19" +GROUP BY "pixel1" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..81073060d69005d9960dd1934b9f5b06f4431379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"pixel1\", SUM(CAST(\"pixel6\" AS INTEGER)) AS \"total_measure\"\nFROM \"n19\"\nGROUP BY \"pixel1\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pixel1\\\", SUM(CAST(\\\"pixel6\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"pixel1\", \"total_measure\"], \"rows\": [{\"pixel1\": \"0\", \"total_measure\": 28383}, {\"pixel1\": \"1\", \"total_measure\": 204}, {\"pixel1\": \"16\", \"total_measure\": 16}, {\"pixel1\": \"4\", \"total_measure\": 4}, {\"pixel1\": \"2\", \"total_measure\": 2}, {\"pixel1\": \"7\", \"total_measure\": 1}, {\"pixel1\": \"14\", \"total_measure\": 0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 108.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3970a5ccaeed92f91aa35028285f905461e88bbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T15:28:18.006866+00:00", + "ended_at": "2026-05-19T15:28:33.095948+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_360664b3897e4ce6", + "problem_id": "v2p_n19_d0ebdcfd271ee2f5", + "dataset_id": "n19", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pixel1, measure_col=pixel6.", + "bindings": { + "group_col": "pixel1", + "measure_col": "pixel6", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_360664b3897e4ce6.sql", + "usage_summary": { + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_360664b3897e4ce6", + "api_calls": 0, + "input_tokens": 101177, + "cached_input_tokens": 0, + "output_tokens": 426, + "total_tokens": 101603, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14848.95, + "sql_execution_elapsed_ms_total": 108.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..72a2b4df1d85071af54bbe54f8bda9a570159baa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:32.985098+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14848.95, "started_at": "2026-05-19T15:28:18.133729+00:00", "ended_at": "2026-05-19T15:28:32.982720+00:00", "prompt_metrics": {"chars": 310915, "bytes_utf8": 310915, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 101177, "cached_input_tokens": 0, "output_tokens": 426, "reasoning_output_tokens": 323}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pixel1\\\", SUM(CAST(\\\"pixel6\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"pixel1\\\" and measure_col=\\\"pixel6\\\". CAST was added because the schema stores \\\"pixel6\\\" as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3236c62016c9e819a76f334777a51cc230dcb574 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_360664b3897e4ce6", + "api_calls": 0, + "input_tokens": 101177, + "cached_input_tokens": 0, + "output_tokens": 426, + "total_tokens": 101603, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14848.95, + "sql_execution_elapsed_ms_total": 108.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_360664b3897e4ce6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..75618a76a63205f43445ae23caf60bef45deecd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"pixel13": "0", "support": 36279, "avg_response": 1.9117395738581549}, {"pixel13": "1", "support": 403, "avg_response": 5.687344913151365}, {"pixel13": "2", "support": 302, "avg_response": 3.7119205298013247}, {"pixel13": "115", "support": 238, "avg_response": 1.415966386554622}, {"pixel13": "3", "support": 236, "avg_response": 3.4957627118644066}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dfa10d8ebe06bcda6e4d6b5722967862501b3053 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_3bcc82acd85cb6b9 +-- problem_id: v2p_n19_43025147ac84bfdb +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel13", + COUNT(*) AS support, + AVG("pixel8") AS avg_response +FROM "n19" +GROUP BY "pixel13" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1cbd188fe2fd3ffd1f9dac90b09181166e27a1dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n19_3bcc82acd85cb6b9\n-- problem_id: v2p_n19_43025147ac84bfdb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"pixel13\",\n COUNT(*) AS support,\n AVG(\"pixel8\") AS avg_response\nFROM \"n19\"\nGROUP BY \"pixel13\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n19_3bcc82acd85cb6b9\\n-- problem_id: v2p_n19_43025147ac84bfdb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"pixel13\\\",\\n COUNT(*) AS support,\\n AVG(\\\"pixel8\\\") AS avg_response\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel13\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"pixel13\", \"support\", \"avg_response\"], \"rows\": [{\"pixel13\": \"0\", \"support\": 36279, \"avg_response\": 1.9117395738581549}, {\"pixel13\": \"1\", \"support\": 403, \"avg_response\": 5.687344913151365}, {\"pixel13\": \"2\", \"support\": 302, \"avg_response\": 3.7119205298013247}, {\"pixel13\": \"115\", \"support\": 238, \"avg_response\": 1.415966386554622}, {\"pixel13\": \"3\", \"support\": 236, \"avg_response\": 3.4957627118644066}, {\"pixel13\": \"118\", \"support\": 236, \"avg_response\": 1.3728813559322033}, {\"pixel13\": \"114\", \"support\": 231, \"avg_response\": 1.5541125541125542}, {\"pixel13\": \"111\", \"support\": 227, \"avg_response\": 2.8325991189427313}, {\"pixel13\": \"128\", \"support\": 223, \"avg_response\": 2.1121076233183858}, {\"pixel13\": \"92\", \"support\": 221, \"avg_response\": 0.9592760180995475}, {\"pixel13\": \"107\", \"support\": 220, \"avg_response\": 1.3363636363636364}, {\"pixel13\": \"104\", \"support\": 219, \"avg_response\": 0.6894977168949772}, {\"pixel13\": \"99\", \"support\": 215, \"avg_response\": 2.167441860465116}, {\"pixel13\": \"96\", \"support\": 215, \"avg_response\": 1.5348837209302326}, {\"pixel13\": \"130\", \"support\": 213, \"avg_response\": 2.60093896713615}, {\"pixel13\": \"110\", \"support\": 213, \"avg_response\": 1.0845070422535212}, {\"pixel13\": \"121\", \"support\": 211, \"avg_response\": 4.796208530805687}, {\"pixel13\": \"113\", \"support\": 207, \"avg_response\": 4.869565217391305}, {\"pixel13\": \"117\", \"support\": 204, \"avg_response\": 2.4362745098039214}, {\"pixel13\": \"126\", \"support\": 204, \"avg_response\": 0.4215686274509804}, {\"pixel13\": \"108\", \"support\": 203, \"avg_response\": 3.852216748768473}, {\"pixel13\": \"112\", \"support\": 202, \"avg_response\": 1.8267326732673268}, {\"pixel13\": \"123\", \"support\": 202, \"avg_response\": 0.7524752475247525}, {\"pixel13\": \"102\", \"support\": 198, \"avg_response\": 2.212121212121212}, {\"pixel13\": \"85\", \"support\": 197, \"avg_response\": 4.49238578680203}, {\"pixel13\": \"122\", \"support\": 197, \"avg_response\": 4.426395939086294}, {\"pixel13\": \"133\", \"support\": 197, \"avg_response\": 2.2741116751269037}, {\"pixel13\": \"100\", \"support\": 197, \"avg_response\": 1.5583756345177664}, {\"pixel13\": \"88\", \"support\": 196, \"avg_response\": 2.4030612244897958}, {\"pixel13\": \"109\", \"support\": 195, \"avg_response\": 4.076923076923077}, {\"pixel13\": \"119\", \"support\": 195, \"avg_response\": 1.8102564102564103}, {\"pixel13\": \"132\", \"support\": 195, \"avg_response\": 1.6153846153846154}, {\"pixel13\": \"116\", \"support\": 194, \"avg_response\": 2.4381443298969074}, {\"pixel13\": \"89\", \"support\": 194, \"avg_response\": 1.5670103092783505}, {\"pixel13\": \"148\", \"support\": 194, \"avg_response\": 1.1804123711340206}, {\"pixel13\": \"124\", \"support\": 193, \"avg_response\": 2.082901554404145}, {\"pixel13\": \"131\", \"support\": 192, \"avg_response\": 1.84375}, {\"pixel13\": \"4\", \"support\": 191, \"avg_response\": 4.2565445026178015}, {\"pixel13\": \"105\", \"support\": 190, \"avg_response\": 1.9210526315789473}, {\"pixel13\": \"138\", \"support\": 190, \"avg_response\": 1.563157894736842}, {\"pixel13\": \"120\", \"support\": 188, \"avg_response\": 2.2872340425531914}, {\"pixel13\": \"140\", \"support\": 187, \"avg_response\": 3.021390374331551}, {\"pixel13\": \"106\", \"support\": 186, \"avg_response\": 0.10752688172043011}, {\"pixel13\": \"93\", \"support\": 185, \"avg_response\": 3.1837837837837837}, {\"pixel13\": \"134\", \"support\": 185, \"avg_response\": 0.4702702702702703}, {\"pixel13\": \"74\", \"support\": 184, \"avg_response\": 4.293478260869565}, {\"pixel13\": \"103\", \"support\": 184, \"avg_response\": 2.967391304347826}, {\"pixel13\": \"97\", \"support\": 184, \"avg_response\": 1.9945652173913044}, {\"pixel13\": \"146\", \"support\": 183, \"avg_response\": 1.907103825136612}, {\"pixel13\": \"142\", \"support\": 183, \"avg_response\": 0.24043715846994534}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 179.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cd9115407ec43e89cb0d49bfea0018dfad392ff2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:22:27.429103+00:00", + "ended_at": "2026-05-19T16:22:27.610081+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_3bcc82acd85cb6b9", + "problem_id": "v2p_n19_43025147ac84bfdb", + "dataset_id": "n19", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=pixel8, key_col=pixel13.", + "bindings": { + "key_col": "pixel13", + "measure_col": "pixel8", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_3bcc82acd85cb6b9.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_3bcc82acd85cb6b9/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..97b332d968563a198c96040a83812f1b5c0197a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"pixel4": "0", "support": 68363, "avg_response": 1.9593493556455979}, {"pixel4": "1", "support": 1104, "avg_response": 9.353260869565217}, {"pixel4": "2", "support": 291, "avg_response": 12.1786941580756}, {"pixel4": "3", "support": 85, "avg_response": 13.011764705882353}, {"pixel4": "4", "support": 26, "avg_response": 8.038461538461538}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0db2833fb01aa1874d4199c9340d89e5510b87ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_44dd2cf6e79f84bd +-- problem_id: v2p_n19_38cafb5d4245d10c +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel4", + COUNT(*) AS support, + AVG("pixel8") AS avg_response +FROM "n19" +GROUP BY "pixel4" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7bf59f75340dae4355729d05cd35ac1c8fb28d3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n19_44dd2cf6e79f84bd\n-- problem_id: v2p_n19_38cafb5d4245d10c\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"pixel4\",\n COUNT(*) AS support,\n AVG(\"pixel8\") AS avg_response\nFROM \"n19\"\nGROUP BY \"pixel4\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n19_44dd2cf6e79f84bd\\n-- problem_id: v2p_n19_38cafb5d4245d10c\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"pixel4\\\",\\n COUNT(*) AS support,\\n AVG(\\\"pixel8\\\") AS avg_response\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel4\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"pixel4\", \"support\", \"avg_response\"], \"rows\": [{\"pixel4\": \"0\", \"support\": 68363, \"avg_response\": 1.9593493556455979}, {\"pixel4\": \"1\", \"support\": 1104, \"avg_response\": 9.353260869565217}, {\"pixel4\": \"2\", \"support\": 291, \"avg_response\": 12.1786941580756}, {\"pixel4\": \"3\", \"support\": 85, \"avg_response\": 13.011764705882353}, {\"pixel4\": \"4\", \"support\": 26, \"avg_response\": 8.038461538461538}, {\"pixel4\": \"5\", \"support\": 21, \"avg_response\": 15.761904761904763}, {\"pixel4\": \"6\", \"support\": 10, \"avg_response\": 3.0}, {\"pixel4\": \"7\", \"support\": 7, \"avg_response\": 21.571428571428573}, {\"pixel4\": \"16\", \"support\": 5, \"avg_response\": 19.6}, {\"pixel4\": \"13\", \"support\": 5, \"avg_response\": 8.4}, {\"pixel4\": \"9\", \"support\": 5, \"avg_response\": 3.4}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 171.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e2146d766a45bbbda37f1f8b9250a3eae304b20c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:22:26.536877+00:00", + "ended_at": "2026-05-19T16:22:26.710262+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_44dd2cf6e79f84bd", + "problem_id": "v2p_n19_38cafb5d4245d10c", + "dataset_id": "n19", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=pixel8, key_col=pixel4.", + "bindings": { + "key_col": "pixel4", + "measure_col": "pixel8", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_44dd2cf6e79f84bd.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_44dd2cf6e79f84bd/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcfc1b02ea37c8ba089a6408a3011b1c25c75096 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"pixel6": "0", "support": 66308, "avg_response": 0.38999819026361826}, {"pixel6": "1", "support": 2046, "avg_response": 0.6016617790811339}, {"pixel6": "2", "support": 689, "avg_response": 0.8751814223512336}, {"pixel6": "3", "support": 287, "avg_response": 2.4634146341463414}, {"pixel6": "4", "support": 120, "avg_response": 3.3333333333333335}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..41acd5b65a0330f6fe23e8291ccf2c86569b94a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_496eb4952c160f80 +-- problem_id: v2p_n19_6f2813aa0c875268 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel6", + COUNT(*) AS support, + AVG("pixel7") AS avg_response +FROM "n19" +GROUP BY "pixel6" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92c061d174f16db8a10ec4b3ec793399582daec5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n19_496eb4952c160f80\n-- problem_id: v2p_n19_6f2813aa0c875268\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"pixel6\",\n COUNT(*) AS support,\n AVG(\"pixel7\") AS avg_response\nFROM \"n19\"\nGROUP BY \"pixel6\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n19_496eb4952c160f80\\n-- problem_id: v2p_n19_6f2813aa0c875268\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"pixel6\\\",\\n COUNT(*) AS support,\\n AVG(\\\"pixel7\\\") AS avg_response\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel6\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"pixel6\", \"support\", \"avg_response\"], \"rows\": [{\"pixel6\": \"0\", \"support\": 66308, \"avg_response\": 0.38999819026361826}, {\"pixel6\": \"1\", \"support\": 2046, \"avg_response\": 0.6016617790811339}, {\"pixel6\": \"2\", \"support\": 689, \"avg_response\": 0.8751814223512336}, {\"pixel6\": \"3\", \"support\": 287, \"avg_response\": 2.4634146341463414}, {\"pixel6\": \"4\", \"support\": 120, \"avg_response\": 3.3333333333333335}, {\"pixel6\": \"5\", \"support\": 68, \"avg_response\": 6.352941176470588}, {\"pixel6\": \"6\", \"support\": 40, \"avg_response\": 14.625}, {\"pixel6\": \"8\", \"support\": 22, \"avg_response\": 14.136363636363637}, {\"pixel6\": \"15\", \"support\": 20, \"avg_response\": 19.1}, {\"pixel6\": \"9\", \"support\": 18, \"avg_response\": 28.555555555555557}, {\"pixel6\": \"18\", \"support\": 16, \"avg_response\": 42.5}, {\"pixel6\": \"11\", \"support\": 14, \"avg_response\": 26.285714285714285}, {\"pixel6\": \"7\", \"support\": 14, \"avg_response\": 11.428571428571429}, {\"pixel6\": \"13\", \"support\": 13, \"avg_response\": 38.92307692307692}, {\"pixel6\": \"20\", \"support\": 12, \"avg_response\": 32.25}, {\"pixel6\": \"17\", \"support\": 12, \"avg_response\": 17.833333333333332}, {\"pixel6\": \"26\", \"support\": 9, \"avg_response\": 67.77777777777777}, {\"pixel6\": \"21\", \"support\": 8, \"avg_response\": 62.875}, {\"pixel6\": \"44\", \"support\": 8, \"avg_response\": 54.5}, {\"pixel6\": \"22\", \"support\": 8, \"avg_response\": 40.5}, {\"pixel6\": \"10\", \"support\": 8, \"avg_response\": 14.125}, {\"pixel6\": \"14\", \"support\": 7, \"avg_response\": 14.285714285714286}, {\"pixel6\": \"19\", \"support\": 6, \"avg_response\": 67.33333333333333}, {\"pixel6\": \"34\", \"support\": 6, \"avg_response\": 46.666666666666664}, {\"pixel6\": \"16\", \"support\": 6, \"avg_response\": 21.833333333333332}, {\"pixel6\": \"25\", \"support\": 5, \"avg_response\": 47.2}, {\"pixel6\": \"36\", \"support\": 5, \"avg_response\": 47.0}, {\"pixel6\": \"27\", \"support\": 5, \"avg_response\": 43.6}, {\"pixel6\": \"48\", \"support\": 5, \"avg_response\": 42.8}], \"row_count_returned\": 29, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 172.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..326f0b07f28409afe2025de480c2acf887b65a6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:22:26.710883+00:00", + "ended_at": "2026-05-19T16:22:26.885264+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_496eb4952c160f80", + "problem_id": "v2p_n19_6f2813aa0c875268", + "dataset_id": "n19", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=pixel7, key_col=pixel6.", + "bindings": { + "key_col": "pixel6", + "measure_col": "pixel7", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_496eb4952c160f80.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_496eb4952c160f80/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b50dffe538681ab8e8b80dd582adb0d4e3dd31b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 58638, "support_share": 0.8376857142857143, "cumulative_support": 58638}, {"value_label": "1", "support": 518, "support_share": 0.0074, "cumulative_support": 59156}, {"value_label": "2", "support": 291, "support_share": 0.0041571428571428575, "cumulative_support": 59447}, {"value_label": "255", "support": 201, "support_share": 0.002871428571428571, "cumulative_support": 59648}, {"value_label": "3", "support": 171, "support_share": 0.002442857142857143, "cumulative_support": 59819}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..56e41d634b3f3b3853cb5e32a402ae8246afa109 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_4b8df4713397e96c +-- problem_id: v2p_n19_0077ec2c0f633b54 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel590" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel590" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a41ec5d82fb56a086484f948b02c9b417745b143 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_n19_4b8df4713397e96c\n-- problem_id: v2p_n19_0077ec2c0f633b54\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"pixel590\" AS value_label, COUNT(*) AS support\n FROM \"n19\"\n GROUP BY \"pixel590\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_n19_4b8df4713397e96c\\n-- problem_id: v2p_n19_0077ec2c0f633b54\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"pixel590\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n19\\\"\\n GROUP BY \\\"pixel590\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 58638, \"support_share\": 0.8376857142857143, \"cumulative_support\": 58638}, {\"value_label\": \"1\", \"support\": 518, \"support_share\": 0.0074, \"cumulative_support\": 59156}, {\"value_label\": \"2\", \"support\": 291, \"support_share\": 0.0041571428571428575, \"cumulative_support\": 59447}, {\"value_label\": \"255\", \"support\": 201, \"support_share\": 0.002871428571428571, \"cumulative_support\": 59648}, {\"value_label\": \"3\", \"support\": 171, \"support_share\": 0.002442857142857143, \"cumulative_support\": 59819}, {\"value_label\": \"5\", \"support\": 131, \"support_share\": 0.0018714285714285714, \"cumulative_support\": 59950}, {\"value_label\": \"4\", \"support\": 122, \"support_share\": 0.0017428571428571428, \"cumulative_support\": 60072}, {\"value_label\": \"8\", \"support\": 83, \"support_share\": 0.0011857142857142858, \"cumulative_support\": 60155}, {\"value_label\": \"7\", \"support\": 81, \"support_share\": 0.0011571428571428572, \"cumulative_support\": 60236}, {\"value_label\": \"6\", \"support\": 77, \"support_share\": 0.0011, \"cumulative_support\": 60313}, {\"value_label\": \"194\", \"support\": 68, \"support_share\": 0.0009714285714285714, \"cumulative_support\": 60381}, {\"value_label\": \"204\", \"support\": 67, \"support_share\": 0.0009571428571428571, \"cumulative_support\": 60448}, {\"value_label\": \"182\", \"support\": 63, \"support_share\": 0.0009, \"cumulative_support\": 60511}, {\"value_label\": \"9\", \"support\": 62, \"support_share\": 0.0008857142857142857, \"cumulative_support\": 60573}, {\"value_label\": \"184\", \"support\": 59, \"support_share\": 0.0008428571428571428, \"cumulative_support\": 60632}, {\"value_label\": \"186\", \"support\": 59, \"support_share\": 0.0008428571428571428, \"cumulative_support\": 60691}, {\"value_label\": \"198\", \"support\": 59, \"support_share\": 0.0008428571428571428, \"cumulative_support\": 60750}, {\"value_label\": \"185\", \"support\": 58, \"support_share\": 0.0008285714285714286, \"cumulative_support\": 60808}, {\"value_label\": \"197\", \"support\": 57, \"support_share\": 0.0008142857142857143, \"cumulative_support\": 60865}, {\"value_label\": \"11\", \"support\": 56, \"support_share\": 0.0008, \"cumulative_support\": 60921}, {\"value_label\": \"187\", \"support\": 56, \"support_share\": 0.0008, \"cumulative_support\": 60977}, {\"value_label\": \"188\", \"support\": 56, \"support_share\": 0.0008, \"cumulative_support\": 61033}, {\"value_label\": \"214\", \"support\": 56, \"support_share\": 0.0008, \"cumulative_support\": 61089}, {\"value_label\": \"19\", \"support\": 55, \"support_share\": 0.0007857142857142857, \"cumulative_support\": 61144}, {\"value_label\": \"191\", \"support\": 55, \"support_share\": 0.0007857142857142857, \"cumulative_support\": 61199}, {\"value_label\": \"178\", \"support\": 54, \"support_share\": 0.0007714285714285715, \"cumulative_support\": 61253}, {\"value_label\": \"183\", \"support\": 54, \"support_share\": 0.0007714285714285715, \"cumulative_support\": 61307}, {\"value_label\": \"206\", \"support\": 54, \"support_share\": 0.0007714285714285715, \"cumulative_support\": 61361}, {\"value_label\": \"150\", \"support\": 53, \"support_share\": 0.0007571428571428572, \"cumulative_support\": 61414}, {\"value_label\": \"162\", \"support\": 53, \"support_share\": 0.0007571428571428572, \"cumulative_support\": 61467}, {\"value_label\": \"181\", \"support\": 53, \"support_share\": 0.0007571428571428572, \"cumulative_support\": 61520}, {\"value_label\": \"216\", \"support\": 53, \"support_share\": 0.0007571428571428572, \"cumulative_support\": 61573}, {\"value_label\": \"22\", \"support\": 53, \"support_share\": 0.0007571428571428572, \"cumulative_support\": 61626}, {\"value_label\": \"174\", \"support\": 52, \"support_share\": 0.0007428571428571429, \"cumulative_support\": 61678}, {\"value_label\": \"179\", \"support\": 52, \"support_share\": 0.0007428571428571429, \"cumulative_support\": 61730}, {\"value_label\": \"230\", \"support\": 52, \"support_share\": 0.0007428571428571429, \"cumulative_support\": 61782}, {\"value_label\": \"133\", \"support\": 51, \"support_share\": 0.0007285714285714286, \"cumulative_support\": 61833}, {\"value_label\": \"136\", \"support\": 51, \"support_share\": 0.0007285714285714286, \"cumulative_support\": 61884}, {\"value_label\": \"199\", \"support\": 51, \"support_share\": 0.0007285714285714286, \"cumulative_support\": 61935}, {\"value_label\": \"212\", \"support\": 51, \"support_share\": 0.0007285714285714286, \"cumulative_support\": 61986}, {\"value_label\": \"129\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62036}, {\"value_label\": \"159\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62086}, {\"value_label\": \"166\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62136}, {\"value_label\": \"177\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62186}, {\"value_label\": \"190\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62236}, {\"value_label\": \"192\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62286}, {\"value_label\": \"203\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62336}, {\"value_label\": \"205\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62386}, {\"value_label\": \"218\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62436}, {\"value_label\": \"23\", \"support\": 50, \"support_share\": 0.0007142857142857143, \"cumulative_support\": 62486}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 242.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1ef35fe1951a3a3890887f97cea467b9fd52516c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:22:22.719602+00:00", + "ended_at": "2026-05-19T16:22:22.964513+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_4b8df4713397e96c", + "problem_id": "v2p_n19_0077ec2c0f633b54", + "dataset_id": "n19", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=pixel590.", + "bindings": { + "group_col": "pixel590" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_4b8df4713397e96c.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4b8df4713397e96c/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4d5764872ace67a3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4d5764872ace67a3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5fa7ba2c016fdf526d32303026d0b388eb109950 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4d5764872ace67a3/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:14:23.013905+00:00", + "ended_at": "2026-05-19T16:14:30.924420+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_4d5764872ace67a3", + "problem_id": "v2p_n19_62cb48323736ba00", + "dataset_id": "n19", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=pixel117, condition_col=pixel1.", + "bindings": { + "group_col": "pixel117", + "condition_col": "pixel1", + "condition_value": "16", + "positive_value": "0", + "negative_value": "16", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 132.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4d5764872ace67a3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4d5764872ace67a3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c0deae3f44c3ed2bdbf0b8bc17e719b9d4020862 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_4d5764872ace67a3/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:26.265087+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3124.09, "started_at": "2026-05-19T16:14:23.139459+00:00", "ended_at": "2026-05-19T16:14:26.263582+00:00", "prompt_metrics": {"chars": 311166, "bytes_utf8": 311166, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4104-549a-7a42-bc17-4ef9c09838cd\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:14:30.924328+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3650.75, "started_at": "2026-05-19T16:14:27.272196+00:00", "ended_at": "2026-05-19T16:14:30.922981+00:00", "prompt_metrics": {"chars": 311166, "bytes_utf8": 311166, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4104-64cd-7f41-8212-948abc23dd3a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c5c22a3d52082e7b92eab76b86658ffc9fe5df8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=pixel35, measure_col=pixel43. +Result preview: [{"pixel35": "245", "pixel34": "76", "total_measure": 61.0, "share_within_group": 100.0}, {"pixel35": "248", "pixel34": "129", "total_measure": 91.0, "share_within_group": 100.0}, {"pixel35": "253", "pixel34": "190", "total_measure": 254.0, "share_within_group": 100.0}, {"pixel35": "30", "pixel34": "0", "total_measure": 8115.0, "share_within_group": 98.81880175353142}, {"pixel35": "19", "pixel34": "0", "total_measure": 8280.0, "share_within_group": 98.5362370581935}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fd44945b212ca5362f02ef6eae646107d0154c5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_58710ea62eb07d9e +-- problem_id: v2p_n19_4c93f3034d72d9d3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "pixel35", + "pixel34", + SUM(CAST("pixel43" AS REAL)) AS total_measure, + SUM(CAST("pixel43" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel43" AS REAL))) OVER (PARTITION BY "pixel35") AS share_within_group +FROM "n19" +GROUP BY "pixel35", "pixel34" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..86930ae2276910826407473aac332d657cc99a00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"pixel35\",\n \"pixel34\",\n SUM(CAST(\"pixel43\" AS REAL)) AS total_measure,\n SUM(CAST(\"pixel43\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"pixel43\" AS REAL))) OVER (PARTITION BY \"pixel35\") AS share_within_group\nFROM \"n19\"\nGROUP BY \"pixel35\", \"pixel34\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"pixel35\\\",\\n \\\"pixel34\\\",\\n SUM(CAST(\\\"pixel43\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"pixel43\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"pixel43\\\" AS REAL))) OVER (PARTITION BY \\\"pixel35\\\") AS share_within_group\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel35\\\", \\\"pixel34\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"pixel35\", \"pixel34\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"pixel35\": \"245\", \"pixel34\": \"76\", \"total_measure\": 61.0, \"share_within_group\": 100.0}, {\"pixel35\": \"248\", \"pixel34\": \"129\", \"total_measure\": 91.0, \"share_within_group\": 100.0}, {\"pixel35\": \"253\", \"pixel34\": \"190\", \"total_measure\": 254.0, \"share_within_group\": 100.0}, {\"pixel35\": \"30\", \"pixel34\": \"0\", \"total_measure\": 8115.0, \"share_within_group\": 98.81880175353142}, {\"pixel35\": \"19\", \"pixel34\": \"0\", \"total_measure\": 8280.0, \"share_within_group\": 98.5362370581935}, {\"pixel35\": \"28\", \"pixel34\": \"0\", \"total_measure\": 6495.0, \"share_within_group\": 97.37631184407796}, {\"pixel35\": \"41\", \"pixel34\": \"0\", \"total_measure\": 6199.0, \"share_within_group\": 96.64795759276582}, {\"pixel35\": \"33\", \"pixel34\": \"0\", \"total_measure\": 6980.0, \"share_within_group\": 96.51548672566372}, {\"pixel35\": \"26\", \"pixel34\": \"0\", \"total_measure\": 9461.0, \"share_within_group\": 96.20703681106366}, {\"pixel35\": \"25\", \"pixel34\": \"0\", \"total_measure\": 7073.0, \"share_within_group\": 95.72337258086344}, {\"pixel35\": \"63\", \"pixel34\": \"0\", \"total_measure\": 3325.0, \"share_within_group\": 95.62841530054645}, {\"pixel35\": \"27\", \"pixel34\": \"0\", \"total_measure\": 9152.0, \"share_within_group\": 95.49248747913188}, {\"pixel35\": \"12\", \"pixel34\": \"0\", \"total_measure\": 8730.0, \"share_within_group\": 95.27447342573393}, {\"pixel35\": \"40\", \"pixel34\": \"0\", \"total_measure\": 7657.0, \"share_within_group\": 94.24}, {\"pixel35\": \"111\", \"pixel34\": \"0\", \"total_measure\": 1687.0, \"share_within_group\": 94.1931881630374}, {\"pixel35\": \"23\", \"pixel34\": \"0\", \"total_measure\": 9312.0, \"share_within_group\": 94.15571284125379}, {\"pixel35\": \"249\", \"pixel34\": \"128\", \"total_measure\": 218.0, \"share_within_group\": 93.56223175965665}, {\"pixel35\": \"22\", \"pixel34\": \"0\", \"total_measure\": 6924.0, \"share_within_group\": 93.2776505456015}, {\"pixel35\": \"53\", \"pixel34\": \"0\", \"total_measure\": 7099.0, \"share_within_group\": 93.2361439453638}, {\"pixel35\": \"16\", \"pixel34\": \"0\", \"total_measure\": 9420.0, \"share_within_group\": 92.9819366301451}, {\"pixel35\": \"13\", \"pixel34\": \"0\", \"total_measure\": 12266.0, \"share_within_group\": 92.57358490566038}, {\"pixel35\": \"0\", \"pixel34\": \"0\", \"total_measure\": 5279830.0, \"share_within_group\": 92.40835657472498}, {\"pixel35\": \"50\", \"pixel34\": \"0\", \"total_measure\": 6618.0, \"share_within_group\": 92.31413028316362}, {\"pixel35\": \"14\", \"pixel34\": \"0\", \"total_measure\": 10168.0, \"share_within_group\": 92.17659323724051}, {\"pixel35\": \"55\", \"pixel34\": \"0\", \"total_measure\": 5359.0, \"share_within_group\": 91.45051194539249}, {\"pixel35\": \"45\", \"pixel34\": \"0\", \"total_measure\": 7402.0, \"share_within_group\": 90.76640098099325}, {\"pixel35\": \"68\", \"pixel34\": \"0\", \"total_measure\": 4338.0, \"share_within_group\": 90.75313807531381}, {\"pixel35\": \"139\", \"pixel34\": \"0\", \"total_measure\": 1775.0, \"share_within_group\": 90.37678207739307}, {\"pixel35\": \"57\", \"pixel34\": \"0\", \"total_measure\": 4968.0, \"share_within_group\": 90.36013095671153}, {\"pixel35\": \"11\", \"pixel34\": \"0\", \"total_measure\": 12141.0, \"share_within_group\": 90.33482142857143}, {\"pixel35\": \"35\", \"pixel34\": \"0\", \"total_measure\": 5637.0, \"share_within_group\": 90.26421136909528}, {\"pixel35\": \"10\", \"pixel34\": \"0\", \"total_measure\": 7825.0, \"share_within_group\": 90.18093811225077}, {\"pixel35\": \"24\", \"pixel34\": \"0\", \"total_measure\": 7865.0, \"share_within_group\": 90.12260799816661}, {\"pixel35\": \"18\", \"pixel34\": \"0\", \"total_measure\": 10802.0, \"share_within_group\": 90.09174311926606}, {\"pixel35\": \"32\", \"pixel34\": \"0\", \"total_measure\": 8158.0, \"share_within_group\": 89.74697469746975}, {\"pixel35\": \"42\", \"pixel34\": \"0\", \"total_measure\": 4455.0, \"share_within_group\": 89.65586637150332}, {\"pixel35\": \"29\", \"pixel34\": \"0\", \"total_measure\": 7923.0, \"share_within_group\": 89.58616010854817}, {\"pixel35\": \"31\", \"pixel34\": \"0\", \"total_measure\": 8110.0, \"share_within_group\": 89.57366909653192}, {\"pixel35\": \"20\", \"pixel34\": \"0\", \"total_measure\": 11211.0, \"share_within_group\": 89.35203634334901}, {\"pixel35\": \"34\", \"pixel34\": \"0\", \"total_measure\": 6870.0, \"share_within_group\": 88.90902031836417}, {\"pixel35\": \"21\", \"pixel34\": \"0\", \"total_measure\": 10622.0, \"share_within_group\": 88.35468308101814}, {\"pixel35\": \"105\", \"pixel34\": \"0\", \"total_measure\": 1430.0, \"share_within_group\": 88.27160493827161}, {\"pixel35\": \"239\", \"pixel34\": \"255\", \"total_measure\": 255.0, \"share_within_group\": 88.23529411764706}, {\"pixel35\": \"60\", \"pixel34\": \"0\", \"total_measure\": 5125.0, \"share_within_group\": 86.82026088429612}, {\"pixel35\": \"2\", \"pixel34\": \"0\", \"total_measure\": 214559.0, \"share_within_group\": 86.43451918157537}, {\"pixel35\": \"1\", \"pixel34\": \"0\", \"total_measure\": 367550.0, \"share_within_group\": 86.3620556777383}, {\"pixel35\": \"36\", \"pixel34\": \"0\", \"total_measure\": 5641.0, \"share_within_group\": 86.18792971734148}, {\"pixel35\": \"51\", \"pixel34\": \"0\", \"total_measure\": 5537.0, \"share_within_group\": 85.91155934833203}, {\"pixel35\": \"59\", \"pixel34\": \"0\", \"total_measure\": 5655.0, \"share_within_group\": 85.90308370044053}, {\"pixel35\": \"58\", \"pixel34\": \"0\", \"total_measure\": 4751.0, \"share_within_group\": 85.83559168925022}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 158.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fbf31018809e7208b76b3ee4b09f53c5fdd5464e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T15:56:56.299578+00:00", + "ended_at": "2026-05-19T15:57:18.165657+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_58710ea62eb07d9e", + "problem_id": "v2p_n19_4c93f3034d72d9d3", + "dataset_id": "n19", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=pixel35, measure_col=pixel43.", + "bindings": { + "group_col": "pixel35", + "measure_col": "pixel43", + "item_col": "pixel34", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 118.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_58710ea62eb07d9e.sql", + "usage_summary": { + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_58710ea62eb07d9e", + "api_calls": 0, + "input_tokens": 101295, + "cached_input_tokens": 12032, + "output_tokens": 686, + "total_tokens": 101981, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20561.46, + "sql_execution_elapsed_ms_total": 158.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..81517c13c5f464eb9cd6a65100f81d7f4c7270d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:00.288301+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3861.2, "started_at": "2026-05-19T15:56:56.425668+00:00", "ended_at": "2026-05-19T15:57:00.286896+00:00", "prompt_metrics": {"chars": 311325, "bytes_utf8": 311325, "lines": 9518, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-5bfc-7162-be18-8d04186dfc22\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:57:18.003478+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16700.26, "started_at": "2026-05-19T15:57:01.301821+00:00", "ended_at": "2026-05-19T15:57:18.002123+00:00", "prompt_metrics": {"chars": 311325, "bytes_utf8": 311325, "lines": 9518, "estimated_tokens": null}, "response_metrics": {"chars": 583, "bytes_utf8": 583, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 101295, "cached_input_tokens": 12032, "output_tokens": 686, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"pixel35\\\",\\n \\\"pixel34\\\",\\n SUM(CAST(\\\"pixel43\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"pixel43\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"pixel43\\\" AS REAL))) OVER (PARTITION BY \\\"pixel35\\\") AS share_within_group\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel35\\\", \\\"pixel34\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with bound roles group_col=\\\"pixel35\\\", item_col=\\\"pixel34\\\", and measure_col=\\\"pixel43\\\". CAST was added because the schema stores these fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..68e4298076d697ee9afec113c2f36f9651b40e35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_58710ea62eb07d9e", + "api_calls": 0, + "input_tokens": 101295, + "cached_input_tokens": 12032, + "output_tokens": 686, + "total_tokens": 101981, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20561.46, + "sql_execution_elapsed_ms_total": 158.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_58710ea62eb07d9e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdfa1c758e17d6e9f4e35be9e4a00037f732a452 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 69985, "support_share": 0.9997857142857143, "support_rank": 1}, {"value_label": "1", "support": 9, "support_share": 0.00012857142857142858, "support_rank": 2}, {"value_label": "2", "support": 2, "support_share": 2.857142857142857e-05, "support_rank": 3}, {"value_label": "14", "support": 1, "support_share": 1.4285714285714285e-05, "support_rank": 4}, {"value_label": "16", "support": 1, "support_share": 1.4285714285714285e-05, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2d84ee9161ca7f92f8d9cc577a48bca27032007f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_5bf49e15dad6afe0 +-- problem_id: v2p_n19_2ff8ef621c6775d2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel1" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel1" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5e8955989654e528c87f46dec8b54c355157d364 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n19_5bf49e15dad6afe0\n-- problem_id: v2p_n19_2ff8ef621c6775d2\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"pixel1\" AS value_label, COUNT(*) AS support\n FROM \"n19\"\n GROUP BY \"pixel1\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n19_5bf49e15dad6afe0\\n-- problem_id: v2p_n19_2ff8ef621c6775d2\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"pixel1\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n19\\\"\\n GROUP BY \\\"pixel1\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 69985, \"support_share\": 0.9997857142857143, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 9, \"support_share\": 0.00012857142857142858, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 2, \"support_share\": 2.857142857142857e-05, \"support_rank\": 3}, {\"value_label\": \"14\", \"support\": 1, \"support_share\": 1.4285714285714285e-05, \"support_rank\": 4}, {\"value_label\": \"16\", \"support\": 1, \"support_share\": 1.4285714285714285e-05, \"support_rank\": 5}, {\"value_label\": \"4\", \"support\": 1, \"support_share\": 1.4285714285714285e-05, \"support_rank\": 6}, {\"value_label\": \"7\", \"support\": 1, \"support_share\": 1.4285714285714285e-05, \"support_rank\": 7}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 195.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5962a51a1e8ca9c904e83c6979aeb1c4dda95165 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:22:23.580797+00:00", + "ended_at": "2026-05-19T16:22:23.778109+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_5bf49e15dad6afe0", + "problem_id": "v2p_n19_2ff8ef621c6775d2", + "dataset_id": "n19", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=pixel1.", + "bindings": { + "group_col": "pixel1" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5bf49e15dad6afe0.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5bf49e15dad6afe0/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6c98afeab4d693975638af53a7785a13e92f6ffa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_5da4fb86b3d70c5f +-- problem_id: v2p_n19_fa6ab628bc4d0462 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", SUM(CAST("pixel6" AS NUMERIC)) AS "total_measure" +FROM "n19" +GROUP BY "pixel1" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ace378c56f550ddc121f8f35010f9801d413581 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"pixel1\", SUM(CAST(\"pixel6\" AS NUMERIC)) AS \"total_measure\"\nFROM \"n19\"\nGROUP BY \"pixel1\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pixel1\\\", SUM(CAST(\\\"pixel6\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel1\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"pixel1\", \"total_measure\"], \"rows\": [{\"pixel1\": \"0\", \"total_measure\": 28383}, {\"pixel1\": \"1\", \"total_measure\": 204}, {\"pixel1\": \"16\", \"total_measure\": 16}, {\"pixel1\": \"4\", \"total_measure\": 4}, {\"pixel1\": \"2\", \"total_measure\": 2}, {\"pixel1\": \"7\", \"total_measure\": 1}, {\"pixel1\": \"14\", \"total_measure\": 0}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 111.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b2dc3ac3ac9801ed5dbd819c75bc29dc70c51b79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T15:28:33.096501+00:00", + "ended_at": "2026-05-19T15:28:46.513874+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_5da4fb86b3d70c5f", + "problem_id": "v2p_n19_fa6ab628bc4d0462", + "dataset_id": "n19", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pixel1, measure_col=pixel6.", + "bindings": { + "group_col": "pixel1", + "measure_col": "pixel6", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3.28, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5da4fb86b3d70c5f.sql", + "usage_summary": { + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_5da4fb86b3d70c5f", + "api_calls": 0, + "input_tokens": 101177, + "cached_input_tokens": 0, + "output_tokens": 458, + "total_tokens": 101635, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13180.03, + "sql_execution_elapsed_ms_total": 111.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a6cc365dda18f6f5d7517261f0dd8360ad79d23a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_5da4fb86b3d70c5f", + "api_calls": 0, + "input_tokens": 101177, + "cached_input_tokens": 0, + "output_tokens": 458, + "total_tokens": 101635, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13180.03, + "sql_execution_elapsed_ms_total": 111.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_5da4fb86b3d70c5f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_63cde8e23e46d9df/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_63cde8e23e46d9df/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ca1d8bd94bfc5532d0237199c76e82df32c114dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_63cde8e23e46d9df/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:01:15.526028+00:00", + "ended_at": "2026-05-19T16:01:24.231646+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_63cde8e23e46d9df", + "problem_id": "v2p_n19_05a5328911b0e8f7", + "dataset_id": "n19", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=pixel44, condition_col=class.", + "bindings": { + "group_col": "pixel44", + "condition_col": "class", + "condition_value": "6", + "positive_value": "6", + "negative_value": "9", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=38" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_63cde8e23e46d9df/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_63cde8e23e46d9df/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e146e7c2f525ebbbfeaafaf231617783dc009efb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_63cde8e23e46d9df/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:19.368077+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3716.22, "started_at": "2026-05-19T16:01:15.650152+00:00", "ended_at": "2026-05-19T16:01:19.366405+00:00", "prompt_metrics": {"chars": 311721, "bytes_utf8": 311721, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-5075-7de1-93c3-e7487b82f8ea\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:01:24.231548+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3848.87, "started_at": "2026-05-19T16:01:20.381312+00:00", "ended_at": "2026-05-19T16:01:24.230232+00:00", "prompt_metrics": {"chars": 311721, "bytes_utf8": 311721, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-6315-71d0-b7f1-ba0ff17b79dc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..05c7ad0a22cc06430c13c3180d69b4f89dc480a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=pixel47, condition_col=pixel1. +Result preview: [{"pixel47": "0", "condition_ratio": 35621.0}, {"pixel47": "1", "condition_ratio": null}, {"pixel47": "10", "condition_ratio": null}, {"pixel47": "100", "condition_ratio": null}, {"pixel47": "101", "condition_ratio": null}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..54766f5c2b17f33ae96ee730ac22b5dfc58219b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n19_65a444862078a71d +-- problem_id: v2p_n19_22e70e58f05b394d +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "pixel47", + SUM(CASE WHEN "pixel1" = '0' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "pixel1" = '16' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "n19" + GROUP BY "pixel47" +) +SELECT + "pixel47", + CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio" +FROM "grouped" +ORDER BY "condition_ratio" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ab4550db835068a508dd9a2fafc58ce3e97c176d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT\n \"pixel47\",\n SUM(CASE WHEN \"pixel1\" = '0' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"pixel1\" = '16' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"n19\"\n GROUP BY \"pixel47\"\n)\nSELECT\n \"pixel47\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"pixel47\\\",\\n SUM(CASE WHEN \\\"pixel1\\\" = '0' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"pixel1\\\" = '16' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"n19\\\"\\n GROUP BY \\\"pixel47\\\"\\n)\\nSELECT\\n \\\"pixel47\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\", \"columns\": [\"pixel47\", \"condition_ratio\"], \"rows\": [{\"pixel47\": \"0\", \"condition_ratio\": 35621.0}, {\"pixel47\": \"1\", \"condition_ratio\": null}, {\"pixel47\": \"10\", \"condition_ratio\": null}, {\"pixel47\": \"100\", \"condition_ratio\": null}, {\"pixel47\": \"101\", \"condition_ratio\": null}, {\"pixel47\": \"102\", \"condition_ratio\": null}, {\"pixel47\": \"103\", \"condition_ratio\": null}, {\"pixel47\": \"104\", \"condition_ratio\": null}, {\"pixel47\": \"105\", \"condition_ratio\": null}, {\"pixel47\": \"106\", \"condition_ratio\": null}, {\"pixel47\": \"107\", \"condition_ratio\": null}, {\"pixel47\": \"108\", \"condition_ratio\": null}, {\"pixel47\": \"109\", \"condition_ratio\": null}, {\"pixel47\": \"11\", \"condition_ratio\": null}, {\"pixel47\": \"110\", \"condition_ratio\": null}, {\"pixel47\": \"111\", \"condition_ratio\": null}, {\"pixel47\": \"112\", \"condition_ratio\": null}, {\"pixel47\": \"113\", \"condition_ratio\": null}, {\"pixel47\": \"114\", \"condition_ratio\": null}, {\"pixel47\": \"115\", \"condition_ratio\": null}, {\"pixel47\": \"116\", \"condition_ratio\": null}, {\"pixel47\": \"117\", \"condition_ratio\": null}, {\"pixel47\": \"118\", \"condition_ratio\": null}, {\"pixel47\": \"119\", \"condition_ratio\": null}, {\"pixel47\": \"12\", \"condition_ratio\": null}, {\"pixel47\": \"120\", \"condition_ratio\": null}, {\"pixel47\": \"121\", \"condition_ratio\": null}, {\"pixel47\": \"122\", \"condition_ratio\": null}, {\"pixel47\": \"123\", \"condition_ratio\": null}, {\"pixel47\": \"124\", \"condition_ratio\": null}, {\"pixel47\": \"125\", \"condition_ratio\": null}, {\"pixel47\": \"126\", \"condition_ratio\": null}, {\"pixel47\": \"127\", \"condition_ratio\": null}, {\"pixel47\": \"128\", \"condition_ratio\": null}, {\"pixel47\": \"129\", \"condition_ratio\": null}, {\"pixel47\": \"13\", \"condition_ratio\": null}, {\"pixel47\": \"130\", \"condition_ratio\": null}, {\"pixel47\": \"131\", \"condition_ratio\": null}, {\"pixel47\": \"132\", \"condition_ratio\": null}, {\"pixel47\": \"133\", \"condition_ratio\": null}, {\"pixel47\": \"134\", \"condition_ratio\": null}, {\"pixel47\": \"135\", \"condition_ratio\": null}, {\"pixel47\": \"136\", \"condition_ratio\": null}, {\"pixel47\": \"137\", \"condition_ratio\": null}, {\"pixel47\": \"138\", \"condition_ratio\": null}, {\"pixel47\": \"139\", \"condition_ratio\": null}, {\"pixel47\": \"14\", \"condition_ratio\": null}, {\"pixel47\": \"140\", \"condition_ratio\": null}, {\"pixel47\": \"141\", \"condition_ratio\": null}, {\"pixel47\": \"142\", \"condition_ratio\": null}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 127.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d963d6824f19fb23b371d52d230e0bd4b31985bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:01:56.667625+00:00", + "ended_at": "2026-05-19T16:02:18.730428+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_65a444862078a71d", + "problem_id": "v2p_n19_22e70e58f05b394d", + "dataset_id": "n19", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=pixel47, condition_col=pixel1.", + "bindings": { + "group_col": "pixel47", + "condition_col": "pixel1", + "condition_value": "0", + "positive_value": "0", + "negative_value": "16", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=41" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_65a444862078a71d.sql", + "usage_summary": { + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_65a444862078a71d", + "api_calls": 0, + "input_tokens": 101386, + "cached_input_tokens": 0, + "output_tokens": 730, + "total_tokens": 102116, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20786.48, + "sql_execution_elapsed_ms_total": 127.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1b2ef5538fa32efc23a0c7e17060aa86ecd00929 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:00.035123+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3231.21, "started_at": "2026-05-19T16:01:56.802584+00:00", "ended_at": "2026-05-19T16:02:00.033831+00:00", "prompt_metrics": {"chars": 311723, "bytes_utf8": 311723, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-f143-7100-811b-2cd7fb0f13d5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:02:18.601024+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17555.27, "started_at": "2026-05-19T16:02:01.044382+00:00", "ended_at": "2026-05-19T16:02:18.599689+00:00", "prompt_metrics": {"chars": 311723, "bytes_utf8": 311723, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 770, "bytes_utf8": 770, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 101386, "cached_input_tokens": 0, "output_tokens": 730, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"pixel47\\\",\\n SUM(CASE WHEN \\\"pixel1\\\" = '0' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"pixel1\\\" = '16' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"n19\\\"\\n GROUP BY \\\"pixel47\\\"\\n)\\nSELECT\\n \\\"pixel47\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Applied the requested grouped ratio template with group_col=\\\"pixel47\\\" and condition_col=\\\"pixel1\\\", using bound values positive_value='0' and negative_value='16'. Identifiers are double-quoted and the query stays single-table and SQLite-compatible.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..32117ca9bddff2023abd279895a8fbdcff22d478 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_65a444862078a71d", + "api_calls": 0, + "input_tokens": 101386, + "cached_input_tokens": 0, + "output_tokens": 730, + "total_tokens": 102116, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20786.48, + "sql_execution_elapsed_ms_total": 127.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_65a444862078a71d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bb2a0e557bb5a51/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bb2a0e557bb5a51/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6f5df03f6df4997530cd1d8d334da1c0bd54b637 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bb2a0e557bb5a51/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:11:13.842334+00:00", + "ended_at": "2026-05-19T16:11:22.654018+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_6bb2a0e557bb5a51", + "problem_id": "v2p_n19_0b28cf930b724541", + "dataset_id": "n19", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=pixel101, measure_col=pixel116.", + "bindings": { + "group_col": "pixel101", + "measure_col": "pixel116", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 77.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bb2a0e557bb5a51/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bb2a0e557bb5a51/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..27295cc5b7786b740a8fbd65197de94cbb8050e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bb2a0e557bb5a51/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:17.178662+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3202.97, "started_at": "2026-05-19T16:11:13.974275+00:00", "ended_at": "2026-05-19T16:11:17.177276+00:00", "prompt_metrics": {"chars": 311103, "bytes_utf8": 311103, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-71b0-7b22-9539-ae807d504c2d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:11:22.653890+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4467.4, "started_at": "2026-05-19T16:11:18.184793+00:00", "ended_at": "2026-05-19T16:11:22.652230+00:00", "prompt_metrics": {"chars": 311103, "bytes_utf8": 311103, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4101-822b-76e0-9a66-3eb5a59a62a4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bc0175a619d774d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bc0175a619d774d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6c413c97453a1413505415031e806da9546991e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bc0175a619d774d/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:09:46.386160+00:00", + "ended_at": "2026-05-19T16:09:54.100656+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_6bc0175a619d774d", + "problem_id": "v2p_n19_7ecb5ac235ce1b2a", + "dataset_id": "n19", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=pixel93, measure_col=pixel105.", + "bindings": { + "group_col": "pixel93", + "measure_col": "pixel105", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 110.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bc0175a619d774d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bc0175a619d774d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7af6328145787fc3120c4119caf8e0972f013839 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6bc0175a619d774d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:49.863703+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3343.02, "started_at": "2026-05-19T16:09:46.519238+00:00", "ended_at": "2026-05-19T16:09:49.862296+00:00", "prompt_metrics": {"chars": 311480, "bytes_utf8": 311480, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-1c31-7043-bbb4-9666528fa1cf\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:54.100563+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3223.12, "started_at": "2026-05-19T16:09:50.876005+00:00", "ended_at": "2026-05-19T16:09:54.099163+00:00", "prompt_metrics": {"chars": 311480, "bytes_utf8": 311480, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4100-2d0f-7062-b90b-221984ed61ec\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6f5f30f08f8e4f11/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6f5f30f08f8e4f11/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..76ab22acbc6ff46790ff5c3e34aec68a322ef9a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6f5f30f08f8e4f11/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T15:33:26.481250+00:00", + "ended_at": "2026-05-19T15:35:19.727531+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_6f5f30f08f8e4f11", + "problem_id": "v2p_n19_90735835da0db71d", + "dataset_id": "n19", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pixel4, measure_col=pixel9.", + "bindings": { + "group_col": "pixel4", + "measure_col": "pixel9", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 25.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6f5f30f08f8e4f11/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6f5f30f08f8e4f11/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a6830b2d0ac16e2ea0a841b35849072f721f431d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_6f5f30f08f8e4f11/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:34:25.355445+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 58752.75, "started_at": "2026-05-19T15:33:26.601177+00:00", "ended_at": "2026-05-19T15:34:25.353956+00:00", "prompt_metrics": {"chars": 310915, "bytes_utf8": 310915, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 3757, "bytes_utf8": 3757, "lines": 13, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40de-d8de-7443-9559-5e24ef5a1db9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1998683, Requested 101812. Please try again in 3.014s. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984327, Requested 101812. Please try again in 2.584s. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1977244, Requested 10", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:35:19.727434+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 53357.27, "started_at": "2026-05-19T15:34:26.368744+00:00", "ended_at": "2026-05-19T15:35:19.726063+00:00", "prompt_metrics": {"chars": 310915, "bytes_utf8": 310915, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 3756, "bytes_utf8": 3756, "lines": 13, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40df-c254-7940-a4ce-49fc5fadaae9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1974315, Requested 101812. Please try again in 2.283s. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1936131, Requested 101812. Please try again in 1.138s. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1965848, Requested 10", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..204f00194937b4bca920ae5c1bbc31f56c178c73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 16765, "support_share": 0.2395, "support_rank": 1}, {"value_label": "1", "support": 1405, "support_share": 0.02007142857142857, "support_rank": 2}, {"value_label": "2", "support": 953, "support_share": 0.013614285714285714, "support_rank": 3}, {"value_label": "3", "support": 701, "support_share": 0.010014285714285715, "support_rank": 4}, {"value_label": "4", "support": 491, "support_share": 0.007014285714285714, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dfb8d4cb6da24dace80b47894cdb13122c55acb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_85ff83329c9b6f25 +-- problem_id: v2p_n19_0eaa9478714ce723 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel210" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel210" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8b98c39866698f762ca550b0218cb78d156252f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n19_85ff83329c9b6f25\n-- problem_id: v2p_n19_0eaa9478714ce723\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"pixel210\" AS value_label, COUNT(*) AS support\n FROM \"n19\"\n GROUP BY \"pixel210\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n19_85ff83329c9b6f25\\n-- problem_id: v2p_n19_0eaa9478714ce723\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"pixel210\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n19\\\"\\n GROUP BY \\\"pixel210\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 16765, \"support_share\": 0.2395, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 1405, \"support_share\": 0.02007142857142857, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 953, \"support_share\": 0.013614285714285714, \"support_rank\": 3}, {\"value_label\": \"3\", \"support\": 701, \"support_share\": 0.010014285714285715, \"support_rank\": 4}, {\"value_label\": \"4\", \"support\": 491, \"support_share\": 0.007014285714285714, \"support_rank\": 5}, {\"value_label\": \"226\", \"support\": 463, \"support_share\": 0.006614285714285714, \"support_rank\": 6}, {\"value_label\": \"221\", \"support\": 458, \"support_share\": 0.006542857142857143, \"support_rank\": 7}, {\"value_label\": \"223\", 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\"support_rank\": 35}, {\"value_label\": \"197\", \"support\": 358, \"support_share\": 0.0051142857142857144, \"support_rank\": 36}, {\"value_label\": \"232\", \"support\": 354, \"support_share\": 0.005057142857142857, \"support_rank\": 37}, {\"value_label\": \"199\", \"support\": 352, \"support_share\": 0.005028571428571428, \"support_rank\": 38}, {\"value_label\": \"202\", \"support\": 346, \"support_share\": 0.004942857142857143, \"support_rank\": 39}, {\"value_label\": \"233\", \"support\": 343, \"support_share\": 0.0049, \"support_rank\": 40}, {\"value_label\": \"5\", \"support\": 337, \"support_share\": 0.0048142857142857145, \"support_rank\": 41}, {\"value_label\": \"234\", \"support\": 335, \"support_share\": 0.0047857142857142855, \"support_rank\": 42}, {\"value_label\": \"194\", \"support\": 333, \"support_share\": 0.004757142857142857, \"support_rank\": 43}, {\"value_label\": \"201\", \"support\": 333, \"support_share\": 0.004757142857142857, \"support_rank\": 44}, {\"value_label\": \"195\", \"support\": 328, \"support_share\": 0.004685714285714286, \"support_rank\": 45}, {\"value_label\": \"200\", \"support\": 325, \"support_share\": 0.004642857142857143, \"support_rank\": 46}, {\"value_label\": \"192\", \"support\": 322, \"support_share\": 0.0046, \"support_rank\": 47}, {\"value_label\": \"189\", \"support\": 317, \"support_share\": 0.004528571428571429, \"support_rank\": 48}, {\"value_label\": \"190\", \"support\": 313, \"support_share\": 0.0044714285714285715, \"support_rank\": 49}, {\"value_label\": \"193\", \"support\": 312, \"support_share\": 0.0044571428571428574, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 219.86}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..488927491cfbd60284086766a04de7e24f09c828 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:22:24.235260+00:00", + "ended_at": "2026-05-19T16:22:24.458594+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_85ff83329c9b6f25", + "problem_id": "v2p_n19_0eaa9478714ce723", + "dataset_id": "n19", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=pixel210.", + "bindings": { + "group_col": "pixel210" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_85ff83329c9b6f25.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_85ff83329c9b6f25/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_8cec2035350a061d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_8cec2035350a061d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..73efb1e0299b4159f4e67752f4d5cd647b157ae7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_8cec2035350a061d/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:13:08.212067+00:00", + "ended_at": "2026-05-19T16:13:16.290316+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_8cec2035350a061d", + "problem_id": "v2p_n19_d1e75f4a9094953e", + "dataset_id": "n19", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=pixel110, condition_col=pixel1.", + "bindings": { + "group_col": "pixel110", + "condition_col": "pixel1", + "condition_value": "0", + "positive_value": "0", + "negative_value": "16", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 136.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_8cec2035350a061d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_8cec2035350a061d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..df90de0743dd9b23d7fce3879350e61691a02405 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_8cec2035350a061d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:11.655460+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3318.78, "started_at": "2026-05-19T16:13:08.335371+00:00", "ended_at": "2026-05-19T16:13:11.654185+00:00", "prompt_metrics": {"chars": 311158, "bytes_utf8": 311158, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-306c-7af0-9985-d4f4f4180929\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:13:16.290229+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3621.03, "started_at": "2026-05-19T16:13:12.667899+00:00", "ended_at": "2026-05-19T16:13:16.288966+00:00", "prompt_metrics": {"chars": 311158, "bytes_utf8": 311158, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-4173-7031-8caf-fbe31d45d4e5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9924e33604321e55/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9924e33604321e55/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0a64e71f36f9741930cdac68bde155b560bbaad5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9924e33604321e55/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T15:40:44.860459+00:00", + "ended_at": "2026-05-19T15:42:48.584985+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_9924e33604321e55", + "problem_id": "v2p_n19_b230df08aaf2e40b", + "dataset_id": "n19", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pixel7, measure_col=pixel11.", + "bindings": { + "group_col": "pixel7", + "measure_col": "pixel11", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 111.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9924e33604321e55/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9924e33604321e55/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0919ba093853fb945cc0faebf2696527fb128551 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9924e33604321e55/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:41:46.952090+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 61968.17, "started_at": "2026-05-19T15:40:44.982357+00:00", "ended_at": "2026-05-19T15:41:46.950562+00:00", "prompt_metrics": {"chars": 310918, "bytes_utf8": 310918, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 3757, "bytes_utf8": 3757, "lines": 13, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40e5-8955-7470-846b-8465cefcfe20\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1972394, Requested 101812. Please try again in 2.226s. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1972626, Requested 101812. Please try again in 2.233s. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984569, Requested 10", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:42:48.584884+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 60618.0, "started_at": "2026-05-19T15:41:47.965380+00:00", "ended_at": "2026-05-19T15:42:48.583430+00:00", "prompt_metrics": {"chars": 310918, "bytes_utf8": 310918, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 3757, "bytes_utf8": 3757, "lines": 13, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40e6-7f35-70e0-b5c8-d3e2c12fbd33\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1970823, Requested 101812. Please try again in 2.179s. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1993734, Requested 101812. Please try again in 2.866s. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1994436, Requested 10", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9ba3adc33517f3d5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9ba3adc33517f3d5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bc7e23fbb4f194c2ef5a2f7d614bf1aaa7f58a84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9ba3adc33517f3d5/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:15:23.914085+00:00", + "ended_at": "2026-05-19T16:15:32.546364+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_9ba3adc33517f3d5", + "problem_id": "v2p_n19_8b3abd12c0c8dc26", + "dataset_id": "n19", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pixel138.", + "bindings": { + "measure_col": "pixel138", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 38.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=110" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9ba3adc33517f3d5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9ba3adc33517f3d5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e3ae22577eb2a64fd4913dc44d9ba34c18f7a2b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9ba3adc33517f3d5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:15:27.210544+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3168.79, "started_at": "2026-05-19T16:15:24.040391+00:00", "ended_at": "2026-05-19T16:15:27.209212+00:00", "prompt_metrics": {"chars": 310861, "bytes_utf8": 310861, "lines": 9514, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4105-428c-7933-b6a2-4d62635e74ca\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:15:32.546167+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 4323.19, "started_at": "2026-05-19T16:15:28.221118+00:00", "ended_at": "2026-05-19T16:15:32.544350+00:00", "prompt_metrics": {"chars": 310861, "bytes_utf8": 310861, "lines": 9514, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4105-52e8-7b03-82df-36ac72c1a409\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..beda8fc1cb8a44b2fcd85d68b268977aa0f86e6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pixel2, measure_col=pixel7. +Result preview: [{"pixel2": "0", "total_measure": 53774}, {"pixel2": "1", "total_measure": 1718}, {"pixel2": "2", "total_measure": 221}, {"pixel2": "45", "total_measure": 183}, {"pixel2": "3", "total_measure": 179}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..68d049f2ca7165b7d0deab8626ffee084a45fa7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_9df14a2994e8583a +-- problem_id: v2p_n19_39214e9108ca76c3 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel2", SUM(CAST("pixel7" AS NUMERIC)) AS total_measure +FROM "n19" +GROUP BY "pixel2" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6b4695355271ef55f57a5c85fc66732fe72cafeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"pixel2\", SUM(CAST(\"pixel7\" AS NUMERIC)) AS total_measure\nFROM \"n19\"\nGROUP BY \"pixel2\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pixel2\\\", SUM(CAST(\\\"pixel7\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel2\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"pixel2\", \"total_measure\"], \"rows\": [{\"pixel2\": \"0\", \"total_measure\": 53774}, {\"pixel2\": \"1\", \"total_measure\": 1718}, {\"pixel2\": \"2\", \"total_measure\": 221}, {\"pixel2\": \"45\", \"total_measure\": 183}, {\"pixel2\": \"3\", \"total_measure\": 179}, {\"pixel2\": \"7\", \"total_measure\": 32}, {\"pixel2\": \"16\", \"total_measure\": 32}, {\"pixel2\": \"13\", \"total_measure\": 26}, {\"pixel2\": \"15\", \"total_measure\": 15}, {\"pixel2\": \"14\", \"total_measure\": 14}, {\"pixel2\": \"4\", \"total_measure\": 9}, {\"pixel2\": \"9\", \"total_measure\": 0}, {\"pixel2\": \"6\", \"total_measure\": 0}, {\"pixel2\": \"5\", \"total_measure\": 0}, {\"pixel2\": \"36\", \"total_measure\": 0}, {\"pixel2\": \"25\", \"total_measure\": 0}, {\"pixel2\": \"11\", \"total_measure\": 0}, {\"pixel2\": \"10\", \"total_measure\": 0}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 108.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ffd5dca359b93a8e63758a30679597a31ba9b48d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T15:28:46.514424+00:00", + "ended_at": "2026-05-19T15:29:01.183200+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_9df14a2994e8583a", + "problem_id": "v2p_n19_39214e9108ca76c3", + "dataset_id": "n19", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pixel2, measure_col=pixel7.", + "bindings": { + "group_col": "pixel2", + "measure_col": "pixel7", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9df14a2994e8583a.sql", + "usage_summary": { + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_9df14a2994e8583a", + "api_calls": 0, + "input_tokens": 101177, + "cached_input_tokens": 0, + "output_tokens": 523, + "total_tokens": 101700, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14437.35, + "sql_execution_elapsed_ms_total": 108.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..919a1c395a189ef96116d45ed7a60abf1cba16ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:01.072698+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14437.35, "started_at": "2026-05-19T15:28:46.633954+00:00", "ended_at": "2026-05-19T15:29:01.071333+00:00", "prompt_metrics": {"chars": 310914, "bytes_utf8": 310914, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 336, "bytes_utf8": 336, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 101177, "cached_input_tokens": 0, "output_tokens": 523, "reasoning_output_tokens": 426}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pixel2\\\", SUM(CAST(\\\"pixel7\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel2\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the provided Grouped Numeric Sum template with \\\"pixel2\\\" as the group column and casts text-typed \\\"pixel7\\\" to NUMERIC for SQLite summation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2ac04be4fa445bd0576932414db95f4c1e2ce128 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_9df14a2994e8583a", + "api_calls": 0, + "input_tokens": 101177, + "cached_input_tokens": 0, + "output_tokens": 523, + "total_tokens": 101700, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14437.35, + "sql_execution_elapsed_ms_total": 108.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_9df14a2994e8583a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a596eb3ddf5481e7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a596eb3ddf5481e7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..77828480c0c31255b650df6225db97f3a482563b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a596eb3ddf5481e7/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T15:53:29.475965+00:00", + "ended_at": "2026-05-19T15:53:38.540038+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_a596eb3ddf5481e7", + "problem_id": "v2p_n19_8f43c12fda4dee2a", + "dataset_id": "n19", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=pixel20.", + "bindings": { + "group_col": "pixel20", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=18" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a596eb3ddf5481e7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a596eb3ddf5481e7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..575a26d0ce4e0bc73d023bbd357cf83b010ec8ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a596eb3ddf5481e7/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:53:33.544009+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3940.46, "started_at": "2026-05-19T15:53:29.601271+00:00", "ended_at": "2026-05-19T15:53:33.541776+00:00", "prompt_metrics": {"chars": 310831, "bytes_utf8": 310831, "lines": 9514, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-3404-7861-a61e-b694d1c0ef5c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:53:38.539874+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3979.05, "started_at": "2026-05-19T15:53:34.558190+00:00", "ended_at": "2026-05-19T15:53:38.537283+00:00", "prompt_metrics": {"chars": 310831, "bytes_utf8": 310831, "lines": 9514, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-4762-71b3-af47-f02fcaa4591d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c239caef393954c2d5b66889a953959801a8f21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=pixel35, measure_col=pixel43. +Result preview: [{"pixel35": "245", "pixel34": "76", "total_measure": 61.0, "share_within_group": 100.0}, {"pixel35": "248", "pixel34": "129", "total_measure": 91.0, "share_within_group": 100.0}, {"pixel35": "253", "pixel34": "190", "total_measure": 254.0, "share_within_group": 100.0}, {"pixel35": "30", "pixel34": "0", "total_measure": 8115.0, "share_within_group": 98.81880175353142}, {"pixel35": "19", "pixel34": "0", "total_measure": 8280.0, "share_within_group": 98.5362370581935}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d66b1277d611ae8a7b5c0b993a71632cbce5b49f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_a6744eb7a670c4d6 +-- problem_id: v2p_n19_70278f4bbd3dc56d +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel35", "pixel34", + SUM(CAST("pixel43" AS REAL)) AS total_measure, + SUM(CAST("pixel43" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel43" AS REAL))) OVER (PARTITION BY "pixel35") AS share_within_group +FROM "n19" +GROUP BY "pixel35", "pixel34" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3809dbec4dc55cb7b0b0445f50fd6d17187974b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"pixel35\", \"pixel34\",\n SUM(CAST(\"pixel43\" AS REAL)) AS total_measure,\n SUM(CAST(\"pixel43\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"pixel43\" AS REAL))) OVER (PARTITION BY \"pixel35\") AS share_within_group\nFROM \"n19\"\nGROUP BY \"pixel35\", \"pixel34\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"pixel35\\\", \\\"pixel34\\\",\\n SUM(CAST(\\\"pixel43\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"pixel43\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"pixel43\\\" AS REAL))) OVER (PARTITION BY \\\"pixel35\\\") AS share_within_group\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel35\\\", \\\"pixel34\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"pixel35\", \"pixel34\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"pixel35\": \"245\", \"pixel34\": \"76\", \"total_measure\": 61.0, \"share_within_group\": 100.0}, {\"pixel35\": \"248\", \"pixel34\": \"129\", \"total_measure\": 91.0, \"share_within_group\": 100.0}, {\"pixel35\": \"253\", \"pixel34\": \"190\", \"total_measure\": 254.0, \"share_within_group\": 100.0}, {\"pixel35\": \"30\", \"pixel34\": \"0\", \"total_measure\": 8115.0, \"share_within_group\": 98.81880175353142}, {\"pixel35\": \"19\", \"pixel34\": \"0\", \"total_measure\": 8280.0, \"share_within_group\": 98.5362370581935}, {\"pixel35\": \"28\", \"pixel34\": \"0\", \"total_measure\": 6495.0, \"share_within_group\": 97.37631184407796}, {\"pixel35\": \"41\", \"pixel34\": \"0\", \"total_measure\": 6199.0, \"share_within_group\": 96.64795759276582}, {\"pixel35\": \"33\", \"pixel34\": \"0\", \"total_measure\": 6980.0, \"share_within_group\": 96.51548672566372}, {\"pixel35\": \"26\", \"pixel34\": \"0\", \"total_measure\": 9461.0, \"share_within_group\": 96.20703681106366}, {\"pixel35\": \"25\", \"pixel34\": \"0\", \"total_measure\": 7073.0, \"share_within_group\": 95.72337258086344}, {\"pixel35\": \"63\", \"pixel34\": \"0\", \"total_measure\": 3325.0, \"share_within_group\": 95.62841530054645}, {\"pixel35\": \"27\", \"pixel34\": \"0\", \"total_measure\": 9152.0, \"share_within_group\": 95.49248747913188}, {\"pixel35\": \"12\", \"pixel34\": \"0\", \"total_measure\": 8730.0, \"share_within_group\": 95.27447342573393}, {\"pixel35\": \"40\", \"pixel34\": \"0\", \"total_measure\": 7657.0, \"share_within_group\": 94.24}, {\"pixel35\": \"111\", \"pixel34\": \"0\", \"total_measure\": 1687.0, \"share_within_group\": 94.1931881630374}, {\"pixel35\": \"23\", \"pixel34\": \"0\", \"total_measure\": 9312.0, \"share_within_group\": 94.15571284125379}, {\"pixel35\": \"249\", \"pixel34\": \"128\", \"total_measure\": 218.0, \"share_within_group\": 93.56223175965665}, {\"pixel35\": \"22\", \"pixel34\": \"0\", \"total_measure\": 6924.0, \"share_within_group\": 93.2776505456015}, {\"pixel35\": \"53\", \"pixel34\": \"0\", \"total_measure\": 7099.0, \"share_within_group\": 93.2361439453638}, {\"pixel35\": \"16\", \"pixel34\": \"0\", \"total_measure\": 9420.0, \"share_within_group\": 92.9819366301451}, {\"pixel35\": \"13\", \"pixel34\": \"0\", \"total_measure\": 12266.0, \"share_within_group\": 92.57358490566038}, {\"pixel35\": \"0\", \"pixel34\": \"0\", \"total_measure\": 5279830.0, \"share_within_group\": 92.40835657472498}, {\"pixel35\": \"50\", \"pixel34\": \"0\", \"total_measure\": 6618.0, \"share_within_group\": 92.31413028316362}, {\"pixel35\": \"14\", \"pixel34\": \"0\", \"total_measure\": 10168.0, \"share_within_group\": 92.17659323724051}, {\"pixel35\": \"55\", \"pixel34\": \"0\", \"total_measure\": 5359.0, \"share_within_group\": 91.45051194539249}, {\"pixel35\": \"45\", \"pixel34\": \"0\", \"total_measure\": 7402.0, \"share_within_group\": 90.76640098099325}, {\"pixel35\": \"68\", \"pixel34\": \"0\", \"total_measure\": 4338.0, \"share_within_group\": 90.75313807531381}, {\"pixel35\": \"139\", \"pixel34\": \"0\", \"total_measure\": 1775.0, \"share_within_group\": 90.37678207739307}, {\"pixel35\": \"57\", \"pixel34\": \"0\", \"total_measure\": 4968.0, \"share_within_group\": 90.36013095671153}, {\"pixel35\": \"11\", \"pixel34\": \"0\", \"total_measure\": 12141.0, \"share_within_group\": 90.33482142857143}, {\"pixel35\": \"35\", \"pixel34\": \"0\", \"total_measure\": 5637.0, \"share_within_group\": 90.26421136909528}, {\"pixel35\": \"10\", \"pixel34\": \"0\", \"total_measure\": 7825.0, \"share_within_group\": 90.18093811225077}, {\"pixel35\": \"24\", \"pixel34\": \"0\", \"total_measure\": 7865.0, \"share_within_group\": 90.12260799816661}, {\"pixel35\": \"18\", \"pixel34\": \"0\", \"total_measure\": 10802.0, \"share_within_group\": 90.09174311926606}, {\"pixel35\": \"32\", \"pixel34\": \"0\", \"total_measure\": 8158.0, \"share_within_group\": 89.74697469746975}, {\"pixel35\": \"42\", \"pixel34\": \"0\", \"total_measure\": 4455.0, \"share_within_group\": 89.65586637150332}, {\"pixel35\": \"29\", \"pixel34\": \"0\", \"total_measure\": 7923.0, \"share_within_group\": 89.58616010854817}, {\"pixel35\": \"31\", \"pixel34\": \"0\", \"total_measure\": 8110.0, \"share_within_group\": 89.57366909653192}, {\"pixel35\": \"20\", \"pixel34\": \"0\", \"total_measure\": 11211.0, \"share_within_group\": 89.35203634334901}, {\"pixel35\": \"34\", \"pixel34\": \"0\", \"total_measure\": 6870.0, \"share_within_group\": 88.90902031836417}, {\"pixel35\": \"21\", \"pixel34\": \"0\", \"total_measure\": 10622.0, \"share_within_group\": 88.35468308101814}, {\"pixel35\": \"105\", \"pixel34\": \"0\", \"total_measure\": 1430.0, \"share_within_group\": 88.27160493827161}, {\"pixel35\": \"239\", \"pixel34\": \"255\", \"total_measure\": 255.0, \"share_within_group\": 88.23529411764706}, {\"pixel35\": \"60\", \"pixel34\": \"0\", \"total_measure\": 5125.0, \"share_within_group\": 86.82026088429612}, {\"pixel35\": \"2\", \"pixel34\": \"0\", \"total_measure\": 214559.0, \"share_within_group\": 86.43451918157537}, {\"pixel35\": \"1\", \"pixel34\": \"0\", \"total_measure\": 367550.0, \"share_within_group\": 86.3620556777383}, {\"pixel35\": \"36\", \"pixel34\": \"0\", \"total_measure\": 5641.0, \"share_within_group\": 86.18792971734148}, {\"pixel35\": \"51\", \"pixel34\": \"0\", \"total_measure\": 5537.0, \"share_within_group\": 85.91155934833203}, {\"pixel35\": \"59\", \"pixel34\": \"0\", \"total_measure\": 5655.0, \"share_within_group\": 85.90308370044053}, {\"pixel35\": \"58\", \"pixel34\": \"0\", \"total_measure\": 4751.0, \"share_within_group\": 85.83559168925022}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 140.7}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c00f7592a54bd894e9deda4a97b193b476c7faa3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T15:57:18.166257+00:00", + "ended_at": "2026-05-19T15:57:33.888474+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_a6744eb7a670c4d6", + "problem_id": "v2p_n19_70278f4bbd3dc56d", + "dataset_id": "n19", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=pixel35, measure_col=pixel43.", + "bindings": { + "group_col": "pixel35", + "measure_col": "pixel43", + "item_col": "pixel34", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 103.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a6744eb7a670c4d6.sql", + "usage_summary": { + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_a6744eb7a670c4d6", + "api_calls": 0, + "input_tokens": 101296, + "cached_input_tokens": 12032, + "output_tokens": 683, + "total_tokens": 101979, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15456.4, + "sql_execution_elapsed_ms_total": 140.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a0ff230fe78892be51c1763faf18a718713496d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:57:33.745278+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15456.4, "started_at": "2026-05-19T15:57:18.287403+00:00", "ended_at": "2026-05-19T15:57:33.743833+00:00", "prompt_metrics": {"chars": 311332, "bytes_utf8": 311332, "lines": 9518, "estimated_tokens": null}, "response_metrics": {"chars": 595, "bytes_utf8": 595, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 101296, "cached_input_tokens": 12032, "output_tokens": 683, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"pixel35\\\", \\\"pixel34\\\",\\n SUM(CAST(\\\"pixel43\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"pixel43\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"pixel43\\\" AS REAL))) OVER (PARTITION BY \\\"pixel35\\\") AS share_within_group\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel35\\\", \\\"pixel34\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided template with group_col=\\\"pixel35\\\", item_col=\\\"pixel34\\\", and measure_col=\\\"pixel43\\\". Cast \\\"pixel43\\\" to REAL because the schema stores it as TEXT while the template requires numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1ed26319a1f2fc53ac62ca8097ac8eb28a2f2d2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_a6744eb7a670c4d6", + "api_calls": 0, + "input_tokens": 101296, + "cached_input_tokens": 12032, + "output_tokens": 683, + "total_tokens": 101979, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15456.4, + "sql_execution_elapsed_ms_total": 140.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_a6744eb7a670c4d6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_b56657f2f2ff740d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_b56657f2f2ff740d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..198d39b2a8338e8a2ff670d780543a1ae9943944 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_b56657f2f2ff740d/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:13:32.838418+00:00", + "ended_at": "2026-05-19T16:13:41.587133+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_b56657f2f2ff740d", + "problem_id": "v2p_n19_6c3ed7c511e4714d", + "dataset_id": "n19", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=pixel111, condition_col=class.", + "bindings": { + "group_col": "pixel111", + "condition_col": "class", + "condition_value": "9", + "positive_value": "6", + "negative_value": "9", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 120.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_b56657f2f2ff740d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_b56657f2f2ff740d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..39de1eae323d0cba9ec79bbd39a32b29b916fad8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_b56657f2f2ff740d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:36.693486+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3727.57, "started_at": "2026-05-19T16:13:32.964453+00:00", "ended_at": "2026-05-19T16:13:36.692062+00:00", "prompt_metrics": {"chars": 311166, "bytes_utf8": 311166, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-90bc-7c72-b472-3b5828b5fb9b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:13:41.587042+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3878.35, "started_at": "2026-05-19T16:13:37.707230+00:00", "ended_at": "2026-05-19T16:13:41.585633+00:00", "prompt_metrics": {"chars": 311166, "bytes_utf8": 311166, "lines": 9519, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4103-a362-75b2-85d3-49bf1220eb45\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_cb9b30e68a6fa649/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_cb9b30e68a6fa649/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0a8db2069c57436cf0243816c2daec6154a2201e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_cb9b30e68a6fa649/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:09:30.547756+00:00", + "ended_at": "2026-05-19T16:09:38.565323+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_cb9b30e68a6fa649", + "problem_id": "v2p_n19_e27d7524c77816ba", + "dataset_id": "n19", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=pixel92, measure_col=pixel104.", + "bindings": { + "group_col": "pixel92", + "measure_col": "pixel104", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 98.32, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_cb9b30e68a6fa649/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_cb9b30e68a6fa649/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c02fa21fad866b09b47283ec84f5d410c3c4c017 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_cb9b30e68a6fa649/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:34.159835+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3475.04, "started_at": "2026-05-19T16:09:30.682870+00:00", "ended_at": "2026-05-19T16:09:34.157952+00:00", "prompt_metrics": {"chars": 311479, "bytes_utf8": 311479, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-de6c-7fb2-9a2c-4b3487ff5539\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:38.565224+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3393.94, "started_at": "2026-05-19T16:09:35.169779+00:00", "ended_at": "2026-05-19T16:09:38.563765+00:00", "prompt_metrics": {"chars": 311479, "bytes_utf8": 311479, "lines": 9516, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-efee-7bd1-a66c-19b6341896bc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..38168efe21bdedcab2436693f858dee6f91fa535 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 27454, "support_share": 0.3922, "support_rank": 1}, {"value_label": "1", "support": 535, "support_share": 0.007642857142857143, "support_rank": 2}, {"value_label": "220", "support": 434, "support_share": 0.0062, "support_rank": 3}, {"value_label": "214", "support": 423, "support_share": 0.006042857142857143, "support_rank": 4}, {"value_label": "222", "support": 422, "support_share": 0.006028571428571428, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0dc3349586a97e091b8ac973d6c08c1c21cf29ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_d03c5961d774f93f +-- problem_id: v2p_n19_0f5898031d6fccee +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel717" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel717" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ed661421aee5df5fb0fd8b922a421fa9d6bc71b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n19_d03c5961d774f93f\n-- problem_id: v2p_n19_0f5898031d6fccee\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"pixel717\" AS value_label, COUNT(*) AS support\n FROM \"n19\"\n GROUP BY \"pixel717\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n19_d03c5961d774f93f\\n-- problem_id: v2p_n19_0f5898031d6fccee\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"pixel717\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n19\\\"\\n GROUP BY \\\"pixel717\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 27454, \"support_share\": 0.3922, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 535, \"support_share\": 0.007642857142857143, \"support_rank\": 2}, {\"value_label\": \"220\", \"support\": 434, \"support_share\": 0.0062, \"support_rank\": 3}, {\"value_label\": \"214\", \"support\": 423, \"support_share\": 0.006042857142857143, \"support_rank\": 4}, {\"value_label\": \"222\", \"support\": 422, \"support_share\": 0.006028571428571428, \"support_rank\": 5}, {\"value_label\": \"223\", \"support\": 408, \"support_share\": 0.005828571428571429, \"support_rank\": 6}, {\"value_label\": \"219\", \"support\": 407, \"support_share\": 0.0058142857142857145, \"support_rank\": 7}, {\"value_label\": \"216\", \"support\": 404, \"support_share\": 0.0057714285714285714, \"support_rank\": 8}, {\"value_label\": \"255\", \"support\": 401, \"support_share\": 0.005728571428571428, \"support_rank\": 9}, {\"value_label\": \"225\", \"support\": 400, \"support_share\": 0.005714285714285714, \"support_rank\": 10}, {\"value_label\": \"217\", \"support\": 395, \"support_share\": 0.005642857142857143, \"support_rank\": 11}, {\"value_label\": \"221\", \"support\": 391, \"support_share\": 0.005585714285714286, \"support_rank\": 12}, {\"value_label\": \"224\", \"support\": 391, \"support_share\": 0.005585714285714286, \"support_rank\": 13}, {\"value_label\": \"218\", \"support\": 384, \"support_share\": 0.005485714285714286, \"support_rank\": 14}, {\"value_label\": \"226\", \"support\": 382, \"support_share\": 0.0054571428571428575, \"support_rank\": 15}, {\"value_label\": \"227\", \"support\": 380, \"support_share\": 0.0054285714285714284, \"support_rank\": 16}, {\"value_label\": \"229\", \"support\": 380, \"support_share\": 0.0054285714285714284, \"support_rank\": 17}, {\"value_label\": \"210\", \"support\": 375, \"support_share\": 0.005357142857142857, \"support_rank\": 18}, {\"value_label\": \"215\", \"support\": 372, \"support_share\": 0.005314285714285714, \"support_rank\": 19}, {\"value_label\": \"232\", \"support\": 369, \"support_share\": 0.005271428571428571, \"support_rank\": 20}, {\"value_label\": \"209\", \"support\": 368, \"support_share\": 0.005257142857142857, \"support_rank\": 21}, {\"value_label\": \"228\", \"support\": 366, \"support_share\": 0.005228571428571429, \"support_rank\": 22}, {\"value_label\": \"230\", \"support\": 366, \"support_share\": 0.005228571428571429, \"support_rank\": 23}, {\"value_label\": \"2\", \"support\": 363, \"support_share\": 0.005185714285714286, \"support_rank\": 24}, {\"value_label\": \"208\", \"support\": 362, \"support_share\": 0.005171428571428572, \"support_rank\": 25}, {\"value_label\": \"212\", \"support\": 358, \"support_share\": 0.0051142857142857144, \"support_rank\": 26}, {\"value_label\": \"207\", \"support\": 348, \"support_share\": 0.004971428571428571, \"support_rank\": 27}, {\"value_label\": \"213\", \"support\": 348, \"support_share\": 0.004971428571428571, \"support_rank\": 28}, {\"value_label\": \"204\", \"support\": 344, \"support_share\": 0.004914285714285714, \"support_rank\": 29}, {\"value_label\": \"211\", \"support\": 344, \"support_share\": 0.004914285714285714, \"support_rank\": 30}, {\"value_label\": \"202\", \"support\": 342, \"support_share\": 0.004885714285714286, \"support_rank\": 31}, {\"value_label\": \"198\", \"support\": 333, \"support_share\": 0.004757142857142857, \"support_rank\": 32}, {\"value_label\": \"231\", \"support\": 333, \"support_share\": 0.004757142857142857, \"support_rank\": 33}, {\"value_label\": \"206\", \"support\": 330, \"support_share\": 0.004714285714285714, \"support_rank\": 34}, {\"value_label\": \"234\", \"support\": 330, \"support_share\": 0.004714285714285714, \"support_rank\": 35}, {\"value_label\": \"205\", \"support\": 329, \"support_share\": 0.0047, \"support_rank\": 36}, {\"value_label\": \"233\", \"support\": 325, \"support_share\": 0.004642857142857143, \"support_rank\": 37}, {\"value_label\": \"196\", \"support\": 322, \"support_share\": 0.0046, \"support_rank\": 38}, {\"value_label\": \"200\", \"support\": 319, \"support_share\": 0.004557142857142857, \"support_rank\": 39}, {\"value_label\": \"201\", \"support\": 317, \"support_share\": 0.004528571428571429, \"support_rank\": 40}, {\"value_label\": \"203\", \"support\": 314, \"support_share\": 0.004485714285714286, \"support_rank\": 41}, {\"value_label\": \"199\", \"support\": 307, \"support_share\": 0.004385714285714285, \"support_rank\": 42}, {\"value_label\": \"237\", \"support\": 297, \"support_share\": 0.004242857142857143, \"support_rank\": 43}, {\"value_label\": \"235\", \"support\": 291, \"support_share\": 0.0041571428571428575, \"support_rank\": 44}, {\"value_label\": \"193\", \"support\": 286, \"support_share\": 0.004085714285714285, \"support_rank\": 45}, {\"value_label\": \"197\", \"support\": 280, \"support_share\": 0.004, \"support_rank\": 46}, {\"value_label\": \"192\", \"support\": 273, \"support_share\": 0.0039, \"support_rank\": 47}, {\"value_label\": \"195\", \"support\": 273, \"support_share\": 0.0039, \"support_rank\": 48}, {\"value_label\": \"236\", \"support\": 270, \"support_share\": 0.003857142857142857, \"support_rank\": 49}, {\"value_label\": \"194\", \"support\": 268, \"support_share\": 0.0038285714285714286, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 261.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4867532e670292cc1d0ef37f495b4a661664761c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:22:26.099397+00:00", + "ended_at": "2026-05-19T16:22:26.363132+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_d03c5961d774f93f", + "problem_id": "v2p_n19_0f5898031d6fccee", + "dataset_id": "n19", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=pixel717.", + "bindings": { + "group_col": "pixel717" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_d03c5961d774f93f.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_d03c5961d774f93f/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..751e7f6fe4daa5ca716647a73bc8e2595869c857 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 25376, "support_share": 0.36251428571428573, "support_rank": 1}, {"value_label": "255", "support": 1181, "support_share": 0.016871428571428572, "support_rank": 2}, {"value_label": "1", "support": 1125, "support_share": 0.01607142857142857, "support_rank": 3}, {"value_label": "2", "support": 763, "support_share": 0.0109, "support_rank": 4}, {"value_label": "3", "support": 461, "support_share": 0.006585714285714286, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fc2b58a8d89c90c0b9e4555ae21316374de84c20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_dbb321e7b0ffea6d +-- problem_id: v2p_n19_9d694a5f3d008d56 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel400" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel400" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2d0463bd26b14a0f5f5a38f4932ce9dacfa432f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_n19_dbb321e7b0ffea6d\n-- problem_id: v2p_n19_9d694a5f3d008d56\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"pixel400\" AS value_label, COUNT(*) AS support\n FROM \"n19\"\n GROUP BY \"pixel400\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_n19_dbb321e7b0ffea6d\\n-- problem_id: v2p_n19_9d694a5f3d008d56\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"pixel400\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n19\\\"\\n GROUP BY \\\"pixel400\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 25376, \"support_share\": 0.36251428571428573, \"support_rank\": 1}, {\"value_label\": \"255\", \"support\": 1181, \"support_share\": 0.016871428571428572, \"support_rank\": 2}, {\"value_label\": \"1\", \"support\": 1125, \"support_share\": 0.01607142857142857, \"support_rank\": 3}, {\"value_label\": \"2\", \"support\": 763, \"support_share\": 0.0109, \"support_rank\": 4}, {\"value_label\": \"3\", \"support\": 461, \"support_share\": 0.006585714285714286, \"support_rank\": 5}, {\"value_label\": \"4\", \"support\": 322, \"support_share\": 0.0046, \"support_rank\": 6}, {\"value_label\": \"204\", \"support\": 315, \"support_share\": 0.0045, \"support_rank\": 7}, {\"value_label\": \"220\", \"support\": 306, \"support_share\": 0.004371428571428571, \"support_rank\": 8}, {\"value_label\": \"209\", \"support\": 303, \"support_share\": 0.004328571428571428, \"support_rank\": 9}, {\"value_label\": \"214\", \"support\": 303, \"support_share\": 0.004328571428571428, \"support_rank\": 10}, {\"value_label\": \"219\", \"support\": 302, \"support_share\": 0.004314285714285714, \"support_rank\": 11}, {\"value_label\": \"225\", \"support\": 295, \"support_share\": 0.004214285714285715, \"support_rank\": 12}, {\"value_label\": \"212\", \"support\": 290, \"support_share\": 0.004142857142857143, \"support_rank\": 13}, {\"value_label\": \"208\", \"support\": 288, \"support_share\": 0.004114285714285714, \"support_rank\": 14}, {\"value_label\": \"207\", \"support\": 287, \"support_share\": 0.0041, \"support_rank\": 15}, {\"value_label\": \"210\", \"support\": 286, \"support_share\": 0.004085714285714285, \"support_rank\": 16}, {\"value_label\": \"213\", \"support\": 286, \"support_share\": 0.004085714285714285, \"support_rank\": 17}, {\"value_label\": \"192\", \"support\": 285, \"support_share\": 0.004071428571428571, \"support_rank\": 18}, {\"value_label\": \"223\", \"support\": 285, \"support_share\": 0.004071428571428571, \"support_rank\": 19}, {\"value_label\": \"227\", \"support\": 284, \"support_share\": 0.004057142857142857, \"support_rank\": 20}, {\"value_label\": \"217\", \"support\": 282, \"support_share\": 0.004028571428571428, \"support_rank\": 21}, {\"value_label\": \"232\", \"support\": 281, \"support_share\": 0.004014285714285714, \"support_rank\": 22}, {\"value_label\": \"211\", \"support\": 280, \"support_share\": 0.004, \"support_rank\": 23}, {\"value_label\": \"218\", \"support\": 280, \"support_share\": 0.004, \"support_rank\": 24}, {\"value_label\": \"226\", \"support\": 279, \"support_share\": 0.003985714285714286, \"support_rank\": 25}, {\"value_label\": \"206\", \"support\": 275, \"support_share\": 0.003928571428571429, \"support_rank\": 26}, {\"value_label\": \"221\", \"support\": 274, \"support_share\": 0.003914285714285714, \"support_rank\": 27}, {\"value_label\": \"216\", \"support\": 273, \"support_share\": 0.0039, \"support_rank\": 28}, {\"value_label\": \"222\", \"support\": 273, \"support_share\": 0.0039, \"support_rank\": 29}, {\"value_label\": \"202\", \"support\": 271, \"support_share\": 0.0038714285714285712, \"support_rank\": 30}, {\"value_label\": \"233\", \"support\": 271, \"support_share\": 0.0038714285714285712, \"support_rank\": 31}, {\"value_label\": \"224\", \"support\": 270, \"support_share\": 0.003857142857142857, \"support_rank\": 32}, {\"value_label\": \"231\", \"support\": 270, \"support_share\": 0.003857142857142857, \"support_rank\": 33}, {\"value_label\": \"228\", \"support\": 269, \"support_share\": 0.0038428571428571427, \"support_rank\": 34}, {\"value_label\": \"229\", \"support\": 267, \"support_share\": 0.0038142857142857145, \"support_rank\": 35}, {\"value_label\": \"197\", \"support\": 266, \"support_share\": 0.0038, \"support_rank\": 36}, {\"value_label\": \"215\", \"support\": 265, \"support_share\": 0.003785714285714286, \"support_rank\": 37}, {\"value_label\": \"230\", \"support\": 264, \"support_share\": 0.0037714285714285714, \"support_rank\": 38}, {\"value_label\": \"203\", \"support\": 263, \"support_share\": 0.0037571428571428573, \"support_rank\": 39}, {\"value_label\": \"190\", \"support\": 259, \"support_share\": 0.0037, \"support_rank\": 40}, {\"value_label\": \"195\", \"support\": 259, \"support_share\": 0.0037, \"support_rank\": 41}, {\"value_label\": \"205\", \"support\": 259, \"support_share\": 0.0037, \"support_rank\": 42}, {\"value_label\": \"236\", \"support\": 259, \"support_share\": 0.0037, \"support_rank\": 43}, {\"value_label\": \"239\", \"support\": 249, \"support_share\": 0.0035571428571428572, \"support_rank\": 44}, {\"value_label\": \"235\", \"support\": 245, \"support_share\": 0.0035, \"support_rank\": 45}, {\"value_label\": \"181\", \"support\": 244, \"support_share\": 0.0034857142857142856, \"support_rank\": 46}, {\"value_label\": \"200\", \"support\": 243, \"support_share\": 0.0034714285714285715, \"support_rank\": 47}, {\"value_label\": \"199\", \"support\": 239, \"support_share\": 0.0034142857142857143, \"support_rank\": 48}, {\"value_label\": \"237\", \"support\": 239, \"support_share\": 0.0034142857142857143, \"support_rank\": 49}, {\"value_label\": \"193\", \"support\": 238, \"support_share\": 0.0034, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 230.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3fd5fb3e60d04f73cfccc07fada621f61c2cdd4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:22:24.896485+00:00", + "ended_at": "2026-05-19T16:22:25.129103+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_dbb321e7b0ffea6d", + "problem_id": "v2p_n19_9d694a5f3d008d56", + "dataset_id": "n19", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=pixel400.", + "bindings": { + "group_col": "pixel400" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_dbb321e7b0ffea6d.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_dbb321e7b0ffea6d/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..945073dd2dbd2bb11cc12f3f9c91a12a23891ad4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=pixel1, group_col_2=pixel58. +Result preview: [{"pixel1": "0", "pixel58": "0", "row_count": 6850}, {"pixel1": "0", "pixel58": "1", "row_count": 80}, {"pixel1": "0", "pixel58": "2", "row_count": 30}, {"pixel1": "0", "pixel58": "3", "row_count": 15}, {"pixel1": "0", "pixel58": "4", "row_count": 7}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..78821c70cff85992394da870b77717ef63617aa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_n19_e6bdd1a9ec4eae8f +-- problem_id: v2p_n19_decbaabd23f26f50 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", "pixel58", COUNT(*) AS "row_count" +FROM "n19" +WHERE CAST("pixel50" AS REAL) >= 37.0 +GROUP BY "pixel1", "pixel58" +ORDER BY "row_count" DESC, "pixel1", "pixel58"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..974261dc1177d7818de8a5eddf7d0d4876f24a54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"pixel1\", \"pixel58\", COUNT(*) AS \"row_count\"\nFROM \"n19\"\nWHERE CAST(\"pixel50\" AS REAL) >= 37.0\nGROUP BY \"pixel1\", \"pixel58\"\nORDER BY \"row_count\" DESC, \"pixel1\", \"pixel58\";", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"pixel1\\\", \\\"pixel58\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n19\\\"\\nWHERE CAST(\\\"pixel50\\\" AS REAL) >= 37.0\\nGROUP BY \\\"pixel1\\\", \\\"pixel58\\\"\\nORDER BY \\\"row_count\\\" DESC, \\\"pixel1\\\", \\\"pixel58\\\";\", \"columns\": [\"pixel1\", \"pixel58\", \"row_count\"], \"rows\": [{\"pixel1\": \"0\", \"pixel58\": \"0\", \"row_count\": 6850}, {\"pixel1\": \"0\", \"pixel58\": \"1\", \"row_count\": 80}, {\"pixel1\": \"0\", \"pixel58\": \"2\", \"row_count\": 30}, {\"pixel1\": \"0\", \"pixel58\": \"3\", \"row_count\": 15}, {\"pixel1\": \"0\", \"pixel58\": \"4\", \"row_count\": 7}, {\"pixel1\": \"0\", \"pixel58\": \"5\", \"row_count\": 7}, {\"pixel1\": \"0\", \"pixel58\": \"6\", \"row_count\": 5}, {\"pixel1\": \"1\", \"pixel58\": \"0\", \"row_count\": 4}, {\"pixel1\": \"0\", \"pixel58\": \"8\", \"row_count\": 3}, {\"pixel1\": \"1\", \"pixel58\": \"1\", \"row_count\": 3}, {\"pixel1\": \"0\", \"pixel58\": \"7\", \"row_count\": 2}, {\"pixel1\": \"0\", \"pixel58\": \"101\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"133\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"134\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"15\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"166\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"179\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"180\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"28\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"31\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"33\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"38\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"39\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"43\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"47\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"48\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"51\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"66\", \"row_count\": 1}, {\"pixel1\": \"0\", \"pixel58\": \"86\", \"row_count\": 1}, {\"pixel1\": \"14\", \"pixel58\": \"10\", \"row_count\": 1}, {\"pixel1\": \"2\", \"pixel58\": \"0\", \"row_count\": 1}], \"row_count_returned\": 31, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 108.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8b5c411260b6feaacfa08443b18f0b53afcad86a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:02:59.560965+00:00", + "ended_at": "2026-05-19T16:03:17.341602+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_e6bdd1a9ec4eae8f", + "problem_id": "v2p_n19_decbaabd23f26f50", + "dataset_id": "n19", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=pixel1, group_col_2=pixel58.", + "bindings": { + "group_col": "pixel1", + "group_col_2": "pixel58", + "predicate_col": "pixel50", + "predicate_op": ">=", + "predicate_value": 37.0, + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 116.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=49" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_e6bdd1a9ec4eae8f.sql", + "usage_summary": { + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_e6bdd1a9ec4eae8f", + "api_calls": 0, + "input_tokens": 101272, + "cached_input_tokens": 0, + "output_tokens": 867, + "total_tokens": 102139, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17543.56, + "sql_execution_elapsed_ms_total": 108.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ff9c0fb930a88563d1ec5d5ede1906c4c8d94d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:17.230930+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17543.56, "started_at": "2026-05-19T16:02:59.685458+00:00", "ended_at": "2026-05-19T16:03:17.229073+00:00", "prompt_metrics": {"chars": 311228, "bytes_utf8": 311228, "lines": 9520, "estimated_tokens": null}, "response_metrics": {"chars": 582, "bytes_utf8": 582, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 101272, "cached_input_tokens": 0, "output_tokens": 867, "reasoning_output_tokens": 711}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"pixel1\\\", \\\"pixel58\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n19\\\"\\nWHERE CAST(\\\"pixel50\\\" AS REAL) >= 37.0\\nGROUP BY \\\"pixel1\\\", \\\"pixel58\\\"\\nORDER BY \\\"row_count\\\" DESC, \\\"pixel1\\\", \\\"pixel58\\\";\",\"notes\":\"Used the required filtered two-dimensional group-count template with \\\"pixel1\\\" and \\\"pixel58\\\" as grouping columns and \\\"pixel50\\\" as the fixed predicate column. \\\"pixel50\\\" is cast to REAL because the SQLite schema stores these fields as TEXT, and numeric filtering should not rely on lexicographic comparison.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..50af4e3ae5cab30da683f9eb798765bb4f0ae4b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n19", + "model": "v2-cli:codex", + "run_id": "v2q_n19_e6bdd1a9ec4eae8f", + "api_calls": 0, + "input_tokens": 101272, + "cached_input_tokens": 0, + "output_tokens": 867, + "total_tokens": 102139, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17543.56, + "sql_execution_elapsed_ms_total": 108.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e6bdd1a9ec4eae8f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e74bc0a40d00add2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e74bc0a40d00add2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6ba219b9887135f99dba552705bfbbf58ccbd7ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e74bc0a40d00add2/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:18:21.656780+00:00", + "ended_at": "2026-05-19T16:18:30.264105+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_e74bc0a40d00add2", + "problem_id": "v2p_n19_9b2e1e1c0d6f82b7", + "dataset_id": "n19", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=pixel143.", + "bindings": { + "group_col": "pixel143", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 131.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e74bc0a40d00add2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e74bc0a40d00add2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c0361928f824e48a280a42bfdf7922ef85dd52b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_e74bc0a40d00add2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:18:25.637025+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3851.13, "started_at": "2026-05-19T16:18:21.784438+00:00", "ended_at": "2026-05-19T16:18:25.635609+00:00", "prompt_metrics": {"chars": 310916, "bytes_utf8": 310916, "lines": 9514, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4107-f8f7-7ce2-8b6e-1945c0f62813\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:18:30.264012+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3611.8, "started_at": "2026-05-19T16:18:26.650805+00:00", "ended_at": "2026-05-19T16:18:30.262652+00:00", "prompt_metrics": {"chars": 310916, "bytes_utf8": 310916, "lines": 9514, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e4108-0bd6-7a91-be48-acf0d9d6ed56\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_f0c2fa728efb3672/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_f0c2fa728efb3672/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..467b178eba6e41f2f7a7fdae92c75bf56ed525e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_f0c2fa728efb3672/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:06:01.021773+00:00", + "ended_at": "2026-05-19T16:06:09.233853+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_f0c2fa728efb3672", + "problem_id": "v2p_n19_d4521aed8f9cafce", + "dataset_id": "n19", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pixel88.", + "bindings": { + "measure_col": "pixel88", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=63" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_f0c2fa728efb3672/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_f0c2fa728efb3672/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7aa2c3ea3af9234c91ee4691e8cb6ff0ab89d798 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_f0c2fa728efb3672/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:04.665165+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3460.71, "started_at": "2026-05-19T16:06:01.203133+00:00", "ended_at": "2026-05-19T16:06:04.663888+00:00", "prompt_metrics": {"chars": 311091, "bytes_utf8": 311091, "lines": 9514, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-ac66-7da0-8044-34e41e141ee0\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:09.233747+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3561.53, "started_at": "2026-05-19T16:06:05.670882+00:00", "ended_at": "2026-05-19T16:06:09.232434+00:00", "prompt_metrics": {"chars": 311091, "bytes_utf8": 311091, "lines": 9514, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-bdbe-7721-9050-b2d52e0f12e2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2843c4998c031a55c3beb6a52553563981a11cab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"pixel19": "0", "support": 46910, "avg_response": 1.072926881261991}, {"pixel19": "1", "support": 1337, "avg_response": 1.212415856394914}, {"pixel19": "2", "support": 870, "avg_response": 1.6114942528735632}, {"pixel19": "3", "support": 596, "avg_response": 1.3070469798657718}, {"pixel19": "4", "support": 363, "avg_response": 3.5730027548209367}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ca233f76029b7358e93484001642bfd53b7d7be7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_fd8c0110ad72cb0b +-- problem_id: v2p_n19_3c96236ddbdcbef1 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel19", + COUNT(*) AS support, + AVG("pixel9") AS avg_response +FROM "n19" +GROUP BY "pixel19" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c4c2c0a3b448a6d0022fc7ead75bfd71638e991 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: n19\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_n19_fd8c0110ad72cb0b\n-- problem_id: v2p_n19_3c96236ddbdcbef1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"pixel19\",\n COUNT(*) AS support,\n AVG(\"pixel9\") AS avg_response\nFROM \"n19\"\nGROUP BY \"pixel19\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: n19\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_n19_fd8c0110ad72cb0b\\n-- problem_id: v2p_n19_3c96236ddbdcbef1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"pixel19\\\",\\n COUNT(*) AS support,\\n AVG(\\\"pixel9\\\") AS avg_response\\nFROM \\\"n19\\\"\\nGROUP BY \\\"pixel19\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"pixel19\", \"support\", \"avg_response\"], \"rows\": [{\"pixel19\": \"0\", \"support\": 46910, \"avg_response\": 1.072926881261991}, {\"pixel19\": \"1\", \"support\": 1337, \"avg_response\": 1.212415856394914}, {\"pixel19\": \"2\", \"support\": 870, \"avg_response\": 1.6114942528735632}, {\"pixel19\": \"3\", \"support\": 596, \"avg_response\": 1.3070469798657718}, {\"pixel19\": \"4\", \"support\": 363, \"avg_response\": 3.5730027548209367}, {\"pixel19\": \"5\", \"support\": 234, \"avg_response\": 3.5982905982905984}, {\"pixel19\": \"6\", \"support\": 195, \"avg_response\": 3.394871794871795}, {\"pixel19\": \"15\", \"support\": 172, \"avg_response\": 5.191860465116279}, {\"pixel19\": \"24\", \"support\": 164, \"avg_response\": 6.310975609756097}, {\"pixel19\": \"8\", \"support\": 163, \"avg_response\": 4.141104294478527}, {\"pixel19\": \"7\", \"support\": 162, \"avg_response\": 8.561728395061728}, {\"pixel19\": \"11\", \"support\": 157, \"avg_response\": 4.10828025477707}, {\"pixel19\": \"13\", \"support\": 156, \"avg_response\": 3.5064102564102564}, {\"pixel19\": \"21\", \"support\": 155, \"avg_response\": 7.096774193548387}, {\"pixel19\": \"9\", \"support\": 152, \"avg_response\": 4.2894736842105265}, {\"pixel19\": \"26\", \"support\": 139, \"avg_response\": 6.093525179856115}, {\"pixel19\": \"19\", \"support\": 137, \"avg_response\": 6.978102189781022}, {\"pixel19\": \"14\", \"support\": 137, \"avg_response\": 4.116788321167883}, {\"pixel19\": \"18\", \"support\": 137, \"avg_response\": 3.1094890510948905}, {\"pixel19\": \"41\", \"support\": 136, \"avg_response\": 12.022058823529411}, {\"pixel19\": \"22\", \"support\": 136, \"avg_response\": 8.382352941176471}, {\"pixel19\": \"16\", \"support\": 136, \"avg_response\": 5.735294117647059}, {\"pixel19\": \"23\", \"support\": 136, \"avg_response\": 4.8088235294117645}, {\"pixel19\": \"10\", \"support\": 136, \"avg_response\": 4.0661764705882355}, {\"pixel19\": \"51\", \"support\": 134, \"avg_response\": 14.291044776119403}, {\"pixel19\": \"53\", \"support\": 134, \"avg_response\": 13.880597014925373}, {\"pixel19\": \"17\", \"support\": 132, \"avg_response\": 7.234848484848484}, {\"pixel19\": \"40\", \"support\": 132, \"avg_response\": 6.734848484848484}, {\"pixel19\": \"32\", \"support\": 131, \"avg_response\": 6.793893129770993}, {\"pixel19\": \"12\", \"support\": 131, \"avg_response\": 4.9465648854961835}, {\"pixel19\": \"63\", \"support\": 129, \"avg_response\": 15.44186046511628}, {\"pixel19\": \"35\", \"support\": 129, \"avg_response\": 11.325581395348838}, {\"pixel19\": \"70\", \"support\": 127, \"avg_response\": 13.196850393700787}, {\"pixel19\": \"47\", \"support\": 127, \"avg_response\": 8.196850393700787}, {\"pixel19\": \"20\", \"support\": 127, \"avg_response\": 5.889763779527559}, {\"pixel19\": \"48\", \"support\": 126, \"avg_response\": 10.484126984126984}, {\"pixel19\": \"34\", \"support\": 126, \"avg_response\": 6.595238095238095}, {\"pixel19\": \"61\", \"support\": 125, \"avg_response\": 16.424}, {\"pixel19\": \"33\", \"support\": 125, \"avg_response\": 10.616}, {\"pixel19\": \"88\", \"support\": 124, \"avg_response\": 12.887096774193548}, {\"pixel19\": \"68\", \"support\": 124, \"avg_response\": 11.612903225806452}, {\"pixel19\": \"66\", \"support\": 123, \"avg_response\": 9.089430894308943}, {\"pixel19\": \"71\", \"support\": 122, \"avg_response\": 18.975409836065573}, {\"pixel19\": \"42\", \"support\": 122, \"avg_response\": 9.418032786885245}, {\"pixel19\": \"27\", \"support\": 122, \"avg_response\": 9.01639344262295}, {\"pixel19\": \"38\", \"support\": 122, \"avg_response\": 7.344262295081967}, {\"pixel19\": \"29\", \"support\": 121, \"avg_response\": 5.68595041322314}, {\"pixel19\": \"36\", \"support\": 120, \"avg_response\": 12.858333333333333}, {\"pixel19\": \"72\", \"support\": 120, \"avg_response\": 11.933333333333334}, {\"pixel19\": \"90\", \"support\": 119, \"avg_response\": 17.714285714285715}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 182.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..80588e158b6ac50d78f03872ce7df0a84eb78b1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n19", + "started_at": "2026-05-19T16:22:28.161011+00:00", + "ended_at": "2026-05-19T16:22:28.345112+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n19_fd8c0110ad72cb0b", + "problem_id": "v2p_n19_3c96236ddbdcbef1", + "dataset_id": "n19", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=pixel9, key_col=pixel19.", + "bindings": { + "key_col": "pixel19", + "measure_col": "pixel9", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_fd8c0110ad72cb0b.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/artifacts/v2q_n19_fd8c0110ad72cb0b/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_003420e12855295a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_003420e12855295a.sql new file mode 100644 index 0000000000000000000000000000000000000000..23d308ac061584c88f0bbecf6a27803b03d67190 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_003420e12855295a.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n19_003420e12855295a +-- problem_id: v2p_n19_62ee560b9b61807b +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "pixel46", + SUM(CASE WHEN "class" = '6' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "class" = '9' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "n19" + GROUP BY "pixel46" +) +SELECT "pixel46", + CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio" +FROM grouped +ORDER BY "condition_ratio" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_060b4247f13fc5b8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_060b4247f13fc5b8.sql new file mode 100644 index 0000000000000000000000000000000000000000..762b0b2da855d3abfd45f5b94a880ff2f50df0c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_060b4247f13fc5b8.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_060b4247f13fc5b8 +-- problem_id: v2p_n19_7e136083fd0e1739 +-- realization_mode: agent +-- source_kind: agent +SELECT + "pixel31" AS "group_col", + "pixel31" AS "item_col", + SUM(CAST("pixel40" AS REAL)) AS "total_measure", + SUM(CAST("pixel40" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel40" AS REAL))) OVER (PARTITION BY "pixel31") AS "share_within_group" +FROM "n19" +GROUP BY "pixel31", "pixel31" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_08cc65370b571f97.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_08cc65370b571f97.sql new file mode 100644 index 0000000000000000000000000000000000000000..90cf72a0389958bdd5b30209cf308a1811224625 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_08cc65370b571f97.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_08cc65370b571f97 +-- problem_id: v2p_n19_a345aaee2436fb62 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel210" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel210" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_09cab0e4fb118891.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_09cab0e4fb118891.sql new file mode 100644 index 0000000000000000000000000000000000000000..7ae77fd35cb7a013f548361d50795fc2dab6b25d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_09cab0e4fb118891.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n19_09cab0e4fb118891 +-- problem_id: v2p_n19_878617cb569b16f8 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel21", COUNT(*) AS "row_count" +FROM "n19" +GROUP BY "pixel21" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_127a817fa4ee12ce.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_127a817fa4ee12ce.sql new file mode 100644 index 0000000000000000000000000000000000000000..abf5ab137427d6287f6ccc46836e159ff72070aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_127a817fa4ee12ce.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_127a817fa4ee12ce +-- problem_id: v2p_n19_977b98c25ed96c63 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel36", "pixel35", + SUM(CAST("pixel44" AS REAL)) AS total_measure, + SUM(CAST("pixel44" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel44" AS REAL))) OVER (PARTITION BY "pixel36") AS share_within_group +FROM "n19" +GROUP BY "pixel36", "pixel35" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_12ce8d7fc865ca97.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_12ce8d7fc865ca97.sql new file mode 100644 index 0000000000000000000000000000000000000000..8f612120b617cbf0c70b768b0f444262570245f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_12ce8d7fc865ca97.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_12ce8d7fc865ca97 +-- problem_id: v2p_n19_e6265081c71953d2 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel9", SUM(CAST("pixel13" AS REAL)) AS total_measure +FROM "n19" +GROUP BY "pixel9" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_174dd7a0f95e9552.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_174dd7a0f95e9552.sql new file mode 100644 index 0000000000000000000000000000000000000000..bdbfb27df51d10d48e5e436719b9dd6e9bb137a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_174dd7a0f95e9552.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_174dd7a0f95e9552 +-- problem_id: v2p_n19_8d95949cb0a051f4 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel526" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel526" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_2231a23130c366db.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_2231a23130c366db.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed78725b9b85b0b1f66389d921cad584de13c124 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_2231a23130c366db.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_n19_2231a23130c366db +-- problem_id: v2p_n19_c1bce175aad8f3d6 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", "pixel60", COUNT(*) AS "row_count" +FROM "n19" +WHERE CAST("pixel51" AS REAL) >= 5.0 +GROUP BY "pixel1", "pixel60" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_22b0ea0113ced3c5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_22b0ea0113ced3c5.sql new file mode 100644 index 0000000000000000000000000000000000000000..80b5661d605ecb0b93517c896faaafdacd870219 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_22b0ea0113ced3c5.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_n19_22b0ea0113ced3c5 +-- problem_id: v2p_n19_4d2c686f32432b4a +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "pixel91", SUM(CAST("pixel103" AS REAL)) AS "group_value" + FROM "n19" + GROUP BY "pixel91" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."pixel91", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_236329704a109fec.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_236329704a109fec.sql new file mode 100644 index 0000000000000000000000000000000000000000..5b51d86b4e56423585f7d3e86692a154d4189b51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_236329704a109fec.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_236329704a109fec +-- problem_id: v2p_n19_4f9a6526bee4ad40 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel30", "pixel30" AS "item_col", + SUM(CAST("pixel39" AS REAL)) AS total_measure, + SUM(CAST("pixel39" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel39" AS REAL))) OVER (PARTITION BY "pixel30") AS share_within_group +FROM "n19" +GROUP BY "pixel30" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_25222c96cf19d015.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_25222c96cf19d015.sql new file mode 100644 index 0000000000000000000000000000000000000000..f35722b646bcce74c808cf89c36cdaf43ccb7708 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_25222c96cf19d015.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_25222c96cf19d015 +-- problem_id: v2p_n19_01360670f0aeb1ba +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel38", "pixel37", + SUM(CAST("pixel46" AS REAL)) AS total_measure, + SUM(CAST("pixel46" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel46" AS REAL))) OVER (PARTITION BY "pixel38") AS share_within_group +FROM "n19" +GROUP BY "pixel38", "pixel37" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_2795727fd618dfe5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_2795727fd618dfe5.sql new file mode 100644 index 0000000000000000000000000000000000000000..0756647b8e7ede58d80efd0254dbfba208e32964 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_2795727fd618dfe5.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n19_2795727fd618dfe5 +-- problem_id: v2p_n19_80581069b2a9a15b +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("pixel92" AS INTEGER) AS "pixel92", + NTILE(10) OVER (ORDER BY CAST("pixel92" AS INTEGER) DESC) AS "tail_bucket" + FROM "n19" + WHERE "pixel92" IS NOT NULL +) +SELECT "pixel92" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "pixel92" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_28a5587ab6dca4f3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_28a5587ab6dca4f3.sql new file mode 100644 index 0000000000000000000000000000000000000000..e14b514fca593948a150f8beffc6f0dcfb56c1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_28a5587ab6dca4f3.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_28a5587ab6dca4f3 +-- problem_id: v2p_n19_dafad2d36656e7af +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel463" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel463" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_31e1e3e27064afb7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_31e1e3e27064afb7.sql new file mode 100644 index 0000000000000000000000000000000000000000..595010819b35aa0098a52b99c786a5cb4ebb178b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_31e1e3e27064afb7.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n19_31e1e3e27064afb7 +-- problem_id: v2p_n19_d7a8e3a3e16c5068 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel17", COUNT(*) AS "row_count" +FROM "n19" +GROUP BY "pixel17" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_33a11d7d34c11c00.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_33a11d7d34c11c00.sql new file mode 100644 index 0000000000000000000000000000000000000000..e27a806eb7f8c5ece339a72cfe53518041312035 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_33a11d7d34c11c00.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_33a11d7d34c11c00 +-- problem_id: v2p_n19_fde25a873ba5fcd7 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel15", + COUNT(*) AS support, + AVG("pixel6") AS avg_response +FROM "n19" +GROUP BY "pixel15" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_360664b3897e4ce6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_360664b3897e4ce6.sql new file mode 100644 index 0000000000000000000000000000000000000000..47b853ebf0388ed86e333c7dda234d4dd693b455 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_360664b3897e4ce6.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_360664b3897e4ce6 +-- problem_id: v2p_n19_d0ebdcfd271ee2f5 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", SUM(CAST("pixel6" AS INTEGER)) AS "total_measure" +FROM "n19" +GROUP BY "pixel1" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_377db0f7e4ca9812.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_377db0f7e4ca9812.sql new file mode 100644 index 0000000000000000000000000000000000000000..8360a30f657a8cea324d75f584c26d394ec55c92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_377db0f7e4ca9812.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_377db0f7e4ca9812 +-- problem_id: v2p_n19_795979c76217b8de +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel37", "pixel36", + SUM(CAST("pixel45" AS REAL)) AS total_measure, + SUM(CAST("pixel45" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel45" AS REAL))) OVER (PARTITION BY "pixel37") AS share_within_group +FROM "n19" +GROUP BY "pixel37", "pixel36" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_396fdbcc7a780188.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_396fdbcc7a780188.sql new file mode 100644 index 0000000000000000000000000000000000000000..1b86a95b3bc302ed02cb4d591f841fc6fcec0dd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_396fdbcc7a780188.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_396fdbcc7a780188 +-- problem_id: v2p_n19_3da04dce7123f7ac +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel273" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel273" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_3bcc82acd85cb6b9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_3bcc82acd85cb6b9.sql new file mode 100644 index 0000000000000000000000000000000000000000..dfa10d8ebe06bcda6e4d6b5722967862501b3053 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_3bcc82acd85cb6b9.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_3bcc82acd85cb6b9 +-- problem_id: v2p_n19_43025147ac84bfdb +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel13", + COUNT(*) AS support, + AVG("pixel8") AS avg_response +FROM "n19" +GROUP BY "pixel13" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_3cebe62699c03e9d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_3cebe62699c03e9d.sql new file mode 100644 index 0000000000000000000000000000000000000000..d78d725af0546fba7c878f3ffcf3fdba22e4a867 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_3cebe62699c03e9d.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n19_3cebe62699c03e9d +-- problem_id: v2p_n19_f55117c73913d180 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "pixel93", + NTILE(10) OVER (ORDER BY CAST("pixel93" AS REAL) DESC) AS "tail_bucket" + FROM "n19" +) +SELECT "pixel93" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("pixel93" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_44dd2cf6e79f84bd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_44dd2cf6e79f84bd.sql new file mode 100644 index 0000000000000000000000000000000000000000..0db2833fb01aa1874d4199c9340d89e5510b87ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_44dd2cf6e79f84bd.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_44dd2cf6e79f84bd +-- problem_id: v2p_n19_38cafb5d4245d10c +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel4", + COUNT(*) AS support, + AVG("pixel8") AS avg_response +FROM "n19" +GROUP BY "pixel4" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_47fdad5fdbdbdf17.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_47fdad5fdbdbdf17.sql new file mode 100644 index 0000000000000000000000000000000000000000..00bd534e6682a9a724c90216249ed92f0d1976fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_47fdad5fdbdbdf17.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n19_47fdad5fdbdbdf17 +-- problem_id: v2p_n19_c933f67949502f85 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "pixel48", + SUM(CASE WHEN "class" = '6' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "class" = '9' THEN 1 ELSE 0 END) AS denominator_count + FROM "n19" + GROUP BY "pixel48" +) +SELECT + "pixel48", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_487111608ebeb700.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_487111608ebeb700.sql new file mode 100644 index 0000000000000000000000000000000000000000..def7d43a76a3df7c25354b38c17d8c7ec1c4af59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_487111608ebeb700.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_487111608ebeb700 +-- problem_id: v2p_n19_447698510684b1d0 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel16", + COUNT(*) AS support, + AVG("pixel8") AS avg_response +FROM "n19" +GROUP BY "pixel16" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_496eb4952c160f80.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_496eb4952c160f80.sql new file mode 100644 index 0000000000000000000000000000000000000000..41acd5b65a0330f6fe23e8291ccf2c86569b94a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_496eb4952c160f80.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_496eb4952c160f80 +-- problem_id: v2p_n19_6f2813aa0c875268 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel6", + COUNT(*) AS support, + AVG("pixel7") AS avg_response +FROM "n19" +GROUP BY "pixel6" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_4b8df4713397e96c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_4b8df4713397e96c.sql new file mode 100644 index 0000000000000000000000000000000000000000..56e41d634b3f3b3853cb5e32a402ae8246afa109 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_4b8df4713397e96c.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_4b8df4713397e96c +-- problem_id: v2p_n19_0077ec2c0f633b54 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel590" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel590" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_50320f9f5dc3a0d5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_50320f9f5dc3a0d5.sql new file mode 100644 index 0000000000000000000000000000000000000000..3affadd513a7697ece6c3032f01613f1100ff040 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_50320f9f5dc3a0d5.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_50320f9f5dc3a0d5 +-- problem_id: v2p_n19_2a78d67119524e9d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel72" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel72" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_54089e579878ed36.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_54089e579878ed36.sql new file mode 100644 index 0000000000000000000000000000000000000000..01423492c8b778050c33531d2e83c4c64a40ae5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_54089e579878ed36.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_54089e579878ed36 +-- problem_id: v2p_n19_44cc3abe821df758 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel40", "pixel39", + SUM(CAST("pixel48" AS REAL)) AS total_measure, + SUM(CAST("pixel48" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel48" AS REAL))) OVER (PARTITION BY "pixel40") AS share_within_group +FROM "n19" +GROUP BY "pixel40", "pixel39" +ORDER BY share_within_group DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_58710ea62eb07d9e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_58710ea62eb07d9e.sql new file mode 100644 index 0000000000000000000000000000000000000000..fd44945b212ca5362f02ef6eae646107d0154c5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_58710ea62eb07d9e.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_58710ea62eb07d9e +-- problem_id: v2p_n19_4c93f3034d72d9d3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "pixel35", + "pixel34", + SUM(CAST("pixel43" AS REAL)) AS total_measure, + SUM(CAST("pixel43" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel43" AS REAL))) OVER (PARTITION BY "pixel35") AS share_within_group +FROM "n19" +GROUP BY "pixel35", "pixel34" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_597a43b2abfb5c22.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_597a43b2abfb5c22.sql new file mode 100644 index 0000000000000000000000000000000000000000..8af89df83a72d28852f102c73536198e262f513f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_597a43b2abfb5c22.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_597a43b2abfb5c22 +-- problem_id: v2p_n19_a64e3d0e8cfd9a00 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel400" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel400" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5bf49e15dad6afe0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5bf49e15dad6afe0.sql new file mode 100644 index 0000000000000000000000000000000000000000..2d84ee9161ca7f92f8d9cc577a48bca27032007f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5bf49e15dad6afe0.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_5bf49e15dad6afe0 +-- problem_id: v2p_n19_2ff8ef621c6775d2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel1" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel1" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5c5f186ac455f6fe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5c5f186ac455f6fe.sql new file mode 100644 index 0000000000000000000000000000000000000000..a755a4fcb70ce635f1d6ecfc51da03cc0e630d56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5c5f186ac455f6fe.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_5c5f186ac455f6fe +-- problem_id: v2p_n19_9242827d13277e9f +-- realization_mode: agent +-- source_kind: agent +SELECT + "pixel36", + "pixel35", + SUM(CAST("pixel44" AS REAL)) AS total_measure, + SUM(CAST("pixel44" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel44" AS REAL))) OVER (PARTITION BY "pixel36") AS share_within_group +FROM "n19" +GROUP BY "pixel36", "pixel35" +ORDER BY share_within_group DESC +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5cbb30268beb99ec.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5cbb30268beb99ec.sql new file mode 100644 index 0000000000000000000000000000000000000000..c6e8ab8dbb46386225fce15153ebdf64bd9345d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5cbb30268beb99ec.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_5cbb30268beb99ec +-- problem_id: v2p_n19_b374743a4806eeee +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel653" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel653" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5da4fb86b3d70c5f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5da4fb86b3d70c5f.sql new file mode 100644 index 0000000000000000000000000000000000000000..6c98afeab4d693975638af53a7785a13e92f6ffa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_5da4fb86b3d70c5f.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_5da4fb86b3d70c5f +-- problem_id: v2p_n19_fa6ab628bc4d0462 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", SUM(CAST("pixel6" AS NUMERIC)) AS "total_measure" +FROM "n19" +GROUP BY "pixel1" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_60a0c1436d571f42.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_60a0c1436d571f42.sql new file mode 100644 index 0000000000000000000000000000000000000000..22972e276432fbea6e8cd47dbf139b05c894b490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_60a0c1436d571f42.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_60a0c1436d571f42 +-- problem_id: v2p_n19_54f5db569cedaf08 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel10", + COUNT(*) AS support, + AVG("pixel7") AS avg_response +FROM "n19" +GROUP BY "pixel10" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_60a947e4a708a03c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_60a947e4a708a03c.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f0d5dc8eb638fcc0d6c4b6cceb0585e77ccfc91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_60a947e4a708a03c.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_60a947e4a708a03c +-- problem_id: v2p_n19_37a83cc351d8986b +-- realization_mode: agent +-- source_kind: agent +SELECT + "pixel2", + SUM(CAST("pixel7" AS INTEGER)) AS total_measure +FROM "n19" +GROUP BY "pixel2" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_60b81633110cc32e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_60b81633110cc32e.sql new file mode 100644 index 0000000000000000000000000000000000000000..7ef39e5722ec1073a6a01067b9b22e9ebb84b31b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_60b81633110cc32e.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_n19_60b81633110cc32e +-- problem_id: v2p_n19_395fbb20ed5c0ba3 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", "pixel66", COUNT(*) AS row_count +FROM "n19" +WHERE "pixel57" = '3' +GROUP BY "pixel1", "pixel66" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_6193ecdc7757cfff.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_6193ecdc7757cfff.sql new file mode 100644 index 0000000000000000000000000000000000000000..07eced3e8d7c8d3c714150ab687acb39e37c3417 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_6193ecdc7757cfff.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_6193ecdc7757cfff +-- problem_id: v2p_n19_9ad0d5fe50f20f80 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel8", + COUNT(*) AS support, + AVG("pixel7") AS avg_response +FROM "n19" +GROUP BY "pixel8" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_63d2840cfa561235.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_63d2840cfa561235.sql new file mode 100644 index 0000000000000000000000000000000000000000..b83669b590a96cb17beb02afa9d4499a16649521 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_63d2840cfa561235.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_63d2840cfa561235 +-- problem_id: v2p_n19_a7c6dd565b006cc7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "pixel30" AS "group_col", + "pixel30" AS "item_col", + SUM(CAST("pixel39" AS REAL)) AS total_measure, + SUM(CAST("pixel39" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("pixel39" AS REAL))) OVER (PARTITION BY "pixel30"), 0) AS share_within_group +FROM "n19" +GROUP BY "pixel30", "pixel30" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_65a444862078a71d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_65a444862078a71d.sql new file mode 100644 index 0000000000000000000000000000000000000000..54766f5c2b17f33ae96ee730ac22b5dfc58219b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_65a444862078a71d.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n19_65a444862078a71d +-- problem_id: v2p_n19_22e70e58f05b394d +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "pixel47", + SUM(CASE WHEN "pixel1" = '0' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "pixel1" = '16' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "n19" + GROUP BY "pixel47" +) +SELECT + "pixel47", + CAST("numerator_count" AS FLOAT) / NULLIF("denominator_count", 0) AS "condition_ratio" +FROM "grouped" +ORDER BY "condition_ratio" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_6de25c9d38b8be1a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_6de25c9d38b8be1a.sql new file mode 100644 index 0000000000000000000000000000000000000000..fb7598ebbfcba78c0c68932c47fbde75460ca724 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_6de25c9d38b8be1a.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_6de25c9d38b8be1a +-- problem_id: v2p_n19_3ce3e5c39d34e456 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel10", SUM(CAST("pixel14" AS NUMERIC)) AS "total_measure" +FROM "n19" +GROUP BY "pixel10" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_73ce105abd52f634.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_73ce105abd52f634.sql new file mode 100644 index 0000000000000000000000000000000000000000..5cc760cdf91cae20251d25e1c6bc8033a8b620a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_73ce105abd52f634.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_73ce105abd52f634 +-- problem_id: v2p_n19_60147939a7cb56d0 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel526" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel526" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_77e8d69ded78a432.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_77e8d69ded78a432.sql new file mode 100644 index 0000000000000000000000000000000000000000..c37c68794801608b6ea235ce85152a32ac46ee2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_77e8d69ded78a432.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_77e8d69ded78a432 +-- problem_id: v2p_n19_751740cecb7ded91 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel463" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel463" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_833e5f4aa65b2544.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_833e5f4aa65b2544.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3abceee1173f3c932c8c55910e8a3898df375de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_833e5f4aa65b2544.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_833e5f4aa65b2544 +-- problem_id: v2p_n19_2573efdb20efb381 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel336" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel336" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_85ff83329c9b6f25.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_85ff83329c9b6f25.sql new file mode 100644 index 0000000000000000000000000000000000000000..dfb8d4cb6da24dace80b47894cdb13122c55acb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_85ff83329c9b6f25.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_85ff83329c9b6f25 +-- problem_id: v2p_n19_0eaa9478714ce723 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel210" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel210" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8bde6661b058a5ca.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8bde6661b058a5ca.sql new file mode 100644 index 0000000000000000000000000000000000000000..96445124f1502a094eb119fde2cae4e986dbb74a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8bde6661b058a5ca.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n19_8bde6661b058a5ca +-- problem_id: v2p_n19_581afce7d9e698d5 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel18", COUNT(*) AS row_count +FROM "n19" +GROUP BY "pixel18" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8cead9bd02bcc2ab.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8cead9bd02bcc2ab.sql new file mode 100644 index 0000000000000000000000000000000000000000..73c02bbd90af3e2661d914b25e771668cfb158df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8cead9bd02bcc2ab.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_8cead9bd02bcc2ab +-- problem_id: v2p_n19_0494a0af3fe9e272 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel3", + COUNT(*) AS support, + AVG("pixel6") AS avg_response +FROM "n19" +GROUP BY "pixel3" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8cf6f9e473400a7f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8cf6f9e473400a7f.sql new file mode 100644 index 0000000000000000000000000000000000000000..a895679082387fd34e1ee8cdbcd40753b084e7b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8cf6f9e473400a7f.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_8cf6f9e473400a7f +-- problem_id: v2p_n19_c2129afcc7d9b639 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel29", "pixel28", + SUM(CAST("pixel38" AS REAL)) AS "total_measure", + SUM(CAST("pixel38" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel38" AS REAL))) OVER (PARTITION BY "pixel29") AS "share_within_group" +FROM "n19" +GROUP BY "pixel29", "pixel28" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8fe3b1a15892f167.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8fe3b1a15892f167.sql new file mode 100644 index 0000000000000000000000000000000000000000..e8efb59a4cf023051a165a4a2008aed7bda593d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_8fe3b1a15892f167.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_n19_8fe3b1a15892f167 +-- problem_id: v2p_n19_2bfd312f182a6878 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", "pixel64", COUNT(*) AS "row_count" +FROM "n19" +WHERE "pixel55" = '18' +GROUP BY "pixel1", "pixel64" +ORDER BY "row_count" DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_92a98203d917261e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_92a98203d917261e.sql new file mode 100644 index 0000000000000000000000000000000000000000..e1ba3d71de61404f1f16e1e1372a22d856fc82a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_92a98203d917261e.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_92a98203d917261e +-- problem_id: v2p_n19_7f4004b87d7e4c91 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel40", "pixel39", + SUM(CAST("pixel48" AS REAL)) AS total_measure, + SUM(CAST("pixel48" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel48" AS REAL))) OVER (PARTITION BY "pixel40") AS share_within_group +FROM "n19" +GROUP BY "pixel40", "pixel39" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9ca0623382e10dd9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9ca0623382e10dd9.sql new file mode 100644 index 0000000000000000000000000000000000000000..fefa4cdb6d504d5d61248cc0f97cb975eda81297 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9ca0623382e10dd9.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_9ca0623382e10dd9 +-- problem_id: v2p_n19_4977aca625abb913 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel144" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel144" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9df14a2994e8583a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9df14a2994e8583a.sql new file mode 100644 index 0000000000000000000000000000000000000000..68d049f2ca7165b7d0deab8626ffee084a45fa7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9df14a2994e8583a.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_9df14a2994e8583a +-- problem_id: v2p_n19_39214e9108ca76c3 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel2", SUM(CAST("pixel7" AS NUMERIC)) AS total_measure +FROM "n19" +GROUP BY "pixel2" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9eefb0a0601d6128.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9eefb0a0601d6128.sql new file mode 100644 index 0000000000000000000000000000000000000000..8d67ee0b102d229d7af5c8ff91aafa8e3c0ff932 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_9eefb0a0601d6128.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_9eefb0a0601d6128 +-- problem_id: v2p_n19_730ae32be335c0d2 +-- realization_mode: agent +-- source_kind: agent +SELECT + "pixel33", + "pixel32", + SUM(CAST("pixel41" AS REAL)) AS total_measure, + SUM(CAST("pixel41" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel41" AS REAL))) OVER (PARTITION BY "pixel33") AS share_within_group +FROM "n19" +GROUP BY "pixel33", "pixel32" +ORDER BY share_within_group DESC +LIMIT 17; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a64260818a61b24e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a64260818a61b24e.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3ba3031aef92575ef3455cfdd9e79f91ac58648 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a64260818a61b24e.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_a64260818a61b24e +-- problem_id: v2p_n19_2e55654ff8bb6324 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel18", + COUNT(*) AS support, + AVG("pixel7") AS avg_response +FROM "n19" +GROUP BY "pixel18" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a6744eb7a670c4d6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a6744eb7a670c4d6.sql new file mode 100644 index 0000000000000000000000000000000000000000..d66b1277d611ae8a7b5c0b993a71632cbce5b49f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a6744eb7a670c4d6.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_a6744eb7a670c4d6 +-- problem_id: v2p_n19_70278f4bbd3dc56d +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel35", "pixel34", + SUM(CAST("pixel43" AS REAL)) AS total_measure, + SUM(CAST("pixel43" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel43" AS REAL))) OVER (PARTITION BY "pixel35") AS share_within_group +FROM "n19" +GROUP BY "pixel35", "pixel34" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a8b439c415439d57.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a8b439c415439d57.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed4d964a7de746499b4d00c0161d55a51f937dca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_a8b439c415439d57.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n19_a8b439c415439d57 +-- problem_id: v2p_n19_12cf41688222ad25 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("pixel90" AS REAL) AS "pixel90", + NTILE(10) OVER (ORDER BY CAST("pixel90" AS REAL) DESC) AS "tail_bucket" + FROM "n19" +) +SELECT "pixel90" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "pixel90" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_afc2c48df4e94e7d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_afc2c48df4e94e7d.sql new file mode 100644 index 0000000000000000000000000000000000000000..2e31864cf31b13d7deb562ad0e5162eb7e61ad46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_afc2c48df4e94e7d.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_n19_afc2c48df4e94e7d +-- problem_id: v2p_n19_daecbccebf78cea4 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", "pixel57", COUNT(*) AS "row_count" +FROM "n19" +WHERE CAST("pixel49" AS REAL) >= 122.0 +GROUP BY "pixel1", "pixel57" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b1b2f8fd94d16807.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b1b2f8fd94d16807.sql new file mode 100644 index 0000000000000000000000000000000000000000..0cdb74ba6499b8ff7d02bc263983b133798d3173 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b1b2f8fd94d16807.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_n19_b1b2f8fd94d16807 +-- problem_id: v2p_n19_f77f55b861cef919 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", "pixel62", COUNT(*) AS row_count +FROM "n19" +WHERE CAST("pixel53" AS REAL) >= 25.0 +GROUP BY "pixel1", "pixel62" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b48fa861e9dc08aa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b48fa861e9dc08aa.sql new file mode 100644 index 0000000000000000000000000000000000000000..90df5f69ebcadef4bcaf19f0375bc356447b2c92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b48fa861e9dc08aa.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_b48fa861e9dc08aa +-- problem_id: v2p_n19_2c7e4aec52114395 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel10", SUM(CAST("pixel14" AS NUMERIC)) AS "total_measure" +FROM "n19" +GROUP BY "pixel10" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b555c62beb81b1da.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b555c62beb81b1da.sql new file mode 100644 index 0000000000000000000000000000000000000000..6170a43b244e28307a4951c4702678d944e2ee0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b555c62beb81b1da.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_b555c62beb81b1da +-- problem_id: v2p_n19_171547901d35b9e1 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel717" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel717" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b58e91ed4962ccf4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b58e91ed4962ccf4.sql new file mode 100644 index 0000000000000000000000000000000000000000..5f818f3e394b1f93117a051989957cd1056390e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_b58e91ed4962ccf4.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_b58e91ed4962ccf4 +-- problem_id: v2p_n19_b8e43aef17e49cc5 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel11", + COUNT(*) AS support, + AVG("pixel9") AS avg_response +FROM "n19" +GROUP BY "pixel11" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bb75faf652645533.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bb75faf652645533.sql new file mode 100644 index 0000000000000000000000000000000000000000..01a0db018e62eb1ac080b0a7878a66384b3210ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bb75faf652645533.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_bb75faf652645533 +-- problem_id: v2p_n19_a3144b331ff6e59d +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel37", "pixel36", + SUM(CAST("pixel45" AS REAL)) AS total_measure, + SUM(CAST("pixel45" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("pixel45" AS REAL))) OVER (PARTITION BY "pixel37"), 0) AS share_within_group +FROM "n19" +GROUP BY "pixel37", "pixel36" +ORDER BY share_within_group DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bbb564c544b4d521.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bbb564c544b4d521.sql new file mode 100644 index 0000000000000000000000000000000000000000..bf1a843d3ce6f2a7e0e5f6c6cbdfb5c421a0cbb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bbb564c544b4d521.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_bbb564c544b4d521 +-- problem_id: v2p_n19_e7b128e66c40329a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel653" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel653" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bbbb4f8717bb71b7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bbbb4f8717bb71b7.sql new file mode 100644 index 0000000000000000000000000000000000000000..b05afe47f4fc73a47e6e67eef3b1209c0d9083f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bbbb4f8717bb71b7.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_n19_bbbb4f8717bb71b7 +-- problem_id: v2p_n19_36cd06c917ae26c6 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel16", COUNT(*) AS row_count +FROM "n19" +GROUP BY "pixel16" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bc356c020368a1cf.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bc356c020368a1cf.sql new file mode 100644 index 0000000000000000000000000000000000000000..4367ef10b7d7af95750f6661339085ed03be4c7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bc356c020368a1cf.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_bc356c020368a1cf +-- problem_id: v2p_n19_e805bb3c0fd0c330 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel336" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel336" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bf4b9ccef2fdf9a2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bf4b9ccef2fdf9a2.sql new file mode 100644 index 0000000000000000000000000000000000000000..ccf63fd770046e6e0f80c7cb189e40d4e1c0e8c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bf4b9ccef2fdf9a2.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_bf4b9ccef2fdf9a2 +-- problem_id: v2p_n19_300fcec816dff93d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel1" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel1" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bfa3884ebf237ffb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bfa3884ebf237ffb.sql new file mode 100644 index 0000000000000000000000000000000000000000..80f210cdbdd0ac6904a574e17e4bdb35e2707960 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_bfa3884ebf237ffb.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_bfa3884ebf237ffb +-- problem_id: v2p_n19_369657016385b5a5 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel34", "pixel33", + SUM(CAST("pixel42" AS REAL)) AS total_measure, + SUM(CAST("pixel42" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel42" AS REAL))) OVER (PARTITION BY "pixel34") AS share_within_group +FROM "n19" +GROUP BY "pixel34", "pixel33" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_c0b08c8660cc45d7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_c0b08c8660cc45d7.sql new file mode 100644 index 0000000000000000000000000000000000000000..bd4c7979d4199fb0db1adf800585f9e1f8ede665 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_c0b08c8660cc45d7.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_c0b08c8660cc45d7 +-- problem_id: v2p_n19_26ad3d3695b7c60d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel590" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel590" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_c423b676e4275bfe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_c423b676e4275bfe.sql new file mode 100644 index 0000000000000000000000000000000000000000..e6286db1cebe1477389ffc18e4f5d80ad41e3882 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_c423b676e4275bfe.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_c423b676e4275bfe +-- problem_id: v2p_n19_029b566376e9da19 +-- realization_mode: agent +-- source_kind: agent +SELECT + "pixel38", + "pixel37", + SUM(CAST("pixel46" AS REAL)) AS total_measure, + SUM(CAST("pixel46" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel46" AS REAL))) OVER (PARTITION BY "pixel38") AS share_within_group +FROM "n19" +GROUP BY "pixel38", "pixel37" +ORDER BY share_within_group DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_cc0eeedd1d420321.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_cc0eeedd1d420321.sql new file mode 100644 index 0000000000000000000000000000000000000000..21b9e340232a9bef30e3f62eb8b543336cac27bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_cc0eeedd1d420321.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_cc0eeedd1d420321 +-- problem_id: v2p_n19_2fb7f5f815186123 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel273" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel273" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_ce1277e4f53ac43e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_ce1277e4f53ac43e.sql new file mode 100644 index 0000000000000000000000000000000000000000..b755695b5871c5fb43220d77ff9a356d37ec1537 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_ce1277e4f53ac43e.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_ce1277e4f53ac43e +-- problem_id: v2p_n19_d95cebac1866a0a5 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel144" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel144" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_d03c5961d774f93f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_d03c5961d774f93f.sql new file mode 100644 index 0000000000000000000000000000000000000000..0dc3349586a97e091b8ac973d6c08c1c21cf29ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_d03c5961d774f93f.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_d03c5961d774f93f +-- problem_id: v2p_n19_0f5898031d6fccee +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel717" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel717" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_d6d8d7d2d4a3605e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_d6d8d7d2d4a3605e.sql new file mode 100644 index 0000000000000000000000000000000000000000..b89aab0714b8733cac4090dc7185a301650dad06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_d6d8d7d2d4a3605e.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_d6d8d7d2d4a3605e +-- problem_id: v2p_n19_435adcf1ef2b7856 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel29", "pixel28", + SUM(CAST("pixel38" AS REAL)) AS total_measure, + SUM(CAST("pixel38" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel38" AS REAL))) OVER (PARTITION BY "pixel29") AS share_within_group +FROM "n19" +GROUP BY "pixel29", "pixel28" +ORDER BY share_within_group DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_dbb321e7b0ffea6d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_dbb321e7b0ffea6d.sql new file mode 100644 index 0000000000000000000000000000000000000000..fc2b58a8d89c90c0b9e4555ae21316374de84c20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_dbb321e7b0ffea6d.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_n19_dbb321e7b0ffea6d +-- problem_id: v2p_n19_9d694a5f3d008d56 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel400" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel400" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_de530bf1ec0a8a33.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_de530bf1ec0a8a33.sql new file mode 100644 index 0000000000000000000000000000000000000000..204de388682d8cec554e15c1a183d38c3fd797e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_de530bf1ec0a8a33.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_de530bf1ec0a8a33 +-- problem_id: v2p_n19_73183e7fa137a491 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel21", + COUNT(*) AS support, + AVG("pixel7") AS avg_response +FROM "n19" +GROUP BY "pixel21" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_e6bdd1a9ec4eae8f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_e6bdd1a9ec4eae8f.sql new file mode 100644 index 0000000000000000000000000000000000000000..78821c70cff85992394da870b77717ef63617aa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_e6bdd1a9ec4eae8f.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_n19_e6bdd1a9ec4eae8f +-- problem_id: v2p_n19_decbaabd23f26f50 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel1", "pixel58", COUNT(*) AS "row_count" +FROM "n19" +WHERE CAST("pixel50" AS REAL) >= 37.0 +GROUP BY "pixel1", "pixel58" +ORDER BY "row_count" DESC, "pixel1", "pixel58"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_ea2124c5845b53ec.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_ea2124c5845b53ec.sql new file mode 100644 index 0000000000000000000000000000000000000000..fc09f0b1c1110ea9da506649a8109ad5e5a4dbfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_ea2124c5845b53ec.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_n19_ea2124c5845b53ec +-- problem_id: v2p_n19_69168598d6ec6f30 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel9", SUM(CAST("pixel13" AS NUMERIC)) AS "total_measure" +FROM "n19" +GROUP BY "pixel9" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_efdd31c7371e2c02.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_efdd31c7371e2c02.sql new file mode 100644 index 0000000000000000000000000000000000000000..8c9040d6e2af5b59db7cd88004a1ec5225e41de2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_efdd31c7371e2c02.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_efdd31c7371e2c02 +-- problem_id: v2p_n19_e3f95ebec3afc781 +-- realization_mode: agent +-- source_kind: agent +SELECT + "pixel39", + "pixel38", + SUM(CAST("pixel47" AS REAL)) AS "total_measure", + SUM(CAST("pixel47" AS REAL)) * 100.0 / SUM(SUM(CAST("pixel47" AS REAL))) OVER (PARTITION BY "pixel39") AS "share_within_group" +FROM "n19" +GROUP BY "pixel39", "pixel38" +ORDER BY "share_within_group" DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_f01f729fcd732d74.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_f01f729fcd732d74.sql new file mode 100644 index 0000000000000000000000000000000000000000..8cf625c17e8970b673290705d7cd83233b70d952 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_f01f729fcd732d74.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_n19_f01f729fcd732d74 +-- problem_id: v2p_n19_ab96b1cb224bfffd +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "pixel82", + NTILE(10) OVER (ORDER BY CAST("pixel82" AS REAL) DESC) AS tail_bucket + FROM "n19" +) +SELECT "pixel82" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("pixel82" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_f2264c7eddce760b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_f2264c7eddce760b.sql new file mode 100644 index 0000000000000000000000000000000000000000..44d0c9681fdf0650415e4714f2e6d263e346adec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_f2264c7eddce760b.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_n19_f2264c7eddce760b +-- problem_id: v2p_n19_3b22af0048c99664 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "pixel43", + SUM(CASE WHEN "pixel1" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "pixel1" = '16' THEN 1 ELSE 0 END) AS denominator_count + FROM "n19" + GROUP BY "pixel43" +) +SELECT "pixel43", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_f2ce06521692eb23.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_f2ce06521692eb23.sql new file mode 100644 index 0000000000000000000000000000000000000000..e57745ef82a4866b913bb41d121e90b211e9a8fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_f2ce06521692eb23.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_n19_f2ce06521692eb23 +-- problem_id: v2p_n19_a3d44195902a6bff +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pixel72" AS value_label, COUNT(*) AS support + FROM "n19" + GROUP BY "pixel72" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_fd8c0110ad72cb0b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_fd8c0110ad72cb0b.sql new file mode 100644 index 0000000000000000000000000000000000000000..ca233f76029b7358e93484001642bfd53b7d7be7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_fd8c0110ad72cb0b.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_n19_fd8c0110ad72cb0b +-- problem_id: v2p_n19_3c96236ddbdcbef1 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pixel19", + COUNT(*) AS support, + AVG("pixel9") AS avg_response +FROM "n19" +GROUP BY "pixel19" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_fe5c7b2e63f2ed05.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_fe5c7b2e63f2ed05.sql new file mode 100644 index 0000000000000000000000000000000000000000..048a3fe856a15e9739531846c444562255aa32bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n19/sql/v2q_n19_fe5c7b2e63f2ed05.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n19 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_n19_fe5c7b2e63f2ed05 +-- problem_id: v2p_n19_6222a9dc87e9fd97 +-- realization_mode: agent +-- source_kind: agent +SELECT "pixel31" AS "group_col", + "pixel31" AS "item_col", + SUM(CAST("pixel40" AS REAL)) AS "total_measure", + SUM(CAST("pixel40" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("pixel40" AS REAL))) OVER (PARTITION BY "pixel31"), 0) AS "share_within_group" +FROM "n19" +GROUP BY "pixel31", "pixel31" +ORDER BY "share_within_group" DESC;