diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..20ff148e83d28eba46ec9ccb68ed368af42a4a53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/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": "2026-05-19T16:02:38.761305+00:00", + "ended_at": "2026-05-19T16:02:42.593165+00:00", + "elapsed_ms": 3831.84, + "returncode": 1, + "prompt_metrics": { + "chars": 17127, + "bytes_utf8": 17127, + "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_00f9a0eebf4d7fc9/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1d4758ddb2ebb1fe4a1d689bab3fed7cf455373a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/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": "2026-05-19T16:02:43.594730+00:00", + "ended_at": "2026-05-19T16:02:47.096672+00:00", + "elapsed_ms": 3501.91, + "returncode": 1, + "prompt_metrics": { + "chars": 17127, + "bytes_utf8": 17127, + "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_00f9a0eebf4d7fc9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..223e817f283ada908de85d09d75ca2320c4d1a13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/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=agent, condition_col=babies.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "agent", + "condition_col": "babies", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": "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_00f9a0eebf4d7fc9/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..223e817f283ada908de85d09d75ca2320c4d1a13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/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=agent, condition_col=babies.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "agent", + "condition_col": "babies", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": "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_00f9a0eebf4d7fc9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5d2eaee7f95bc11bcdb4b144c1de1cf32e6f615 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-9555-7ec1-8372-dba4d5e91dbe"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. 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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_00f9a0eebf4d7fc9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/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_00f9a0eebf4d7fc9/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/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_019d6b006b7de3e4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e1bc08ca6fdd8112e9cb8b76a74738670fb9efc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"arrival_date_year": "2015", "percentile_measure": 323.0}, {"arrival_date_year": "2017", "percentile_measure": 320.0}, {"arrival_date_year": "2016", "percentile_measure": 317.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..60b05366d2ed91c9bde2eaab3fbd3cdbb87fe717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/generated_sql.sql @@ -0,0 +1,44 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m12_019d6b006b7de3e4 +-- problem_id: v2p_m12_3441c9281f38766d +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "arrival_date_year", + CAST("lead_time" AS REAL) AS "lead_time_value", + ROW_NUMBER() OVER ( + PARTITION BY "arrival_date_year" + ORDER BY CAST("lead_time" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "arrival_date_year") AS "cnt" + FROM "m12" + WHERE "arrival_date_year" IS NOT NULL + AND TRIM("arrival_date_year") <> '' + AND "lead_time" IS NOT NULL + AND TRIM("lead_time") <> '' +), +"thresholded" AS ( + SELECT + "arrival_date_year", + "lead_time_value", + "rn", + "cnt", + CAST(((95 * "cnt") + 99) / 100 AS INTEGER) AS "target_rn" + FROM "ranked" +) +SELECT + "arrival_date_year", + MIN("lead_time_value") AS "percentile_measure" +FROM "thresholded" +WHERE "rn" >= "target_rn" +GROUP BY "arrival_date_year" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3dca298ea7d15e54981a7c51375f2913facc4a6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"arrival_date_year\", \"percentile_measure\"], \"rows\": [{\"arrival_date_year\": \"2015\", \"percentile_measure\": 323.0}, {\"arrival_date_year\": \"2017\", \"percentile_measure\": 320.0}, {\"arrival_date_year\": \"2016\", \"percentile_measure\": 317.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 334.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e37a1d45441bf3c01d076a7c24e8d8fa925b5616 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:52:54.542456+00:00", + "ended_at": "2026-05-19T15:53:14.764404+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_019d6b006b7de3e4", + "problem_id": "v2p_m12_3441c9281f38766d", + "dataset_id": "m12", + "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=arrival_date_year, measure_col=lead_time.", + "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 + }, + "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=1", + "sql_variant_index=1/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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/m12/sql/v2q_m12_019d6b006b7de3e4.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..902ed7a2bf84a9b3e3bd568b2427ba061df6e1c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:52:57.984574+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": 3432.99, "started_at": "2026-05-19T15:52:54.550844+00:00", "ended_at": "2026-05-19T15:52:57.983861+00:00", "prompt_metrics": {"chars": 17087, "bytes_utf8": 17087, "lines": 480, "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\":\"019e40f0-ab17-7fd2-8f4b-b051c87bd344\"}\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": "2026-05-19T15:53:14.428764+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": 15441.03, "started_at": "2026-05-19T15:52:58.986281+00:00", "ended_at": "2026-05-19T15:53:14.427359+00:00", "prompt_metrics": {"chars": 17087, "bytes_utf8": 17087, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e26e71aaa38590e24151f6993b80f9d2a022be65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_041eea874a44681c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8f3cc00f6c206e4d197332d023d8aebf5bd4125 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17354, "bytes_utf8": 17354, "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": 687, "bytes_utf8": 687, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16781, "cached_input_tokens": 15744, "output_tokens": 934, "reasoning_output_tokens": 759}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fbbaf65112a7187d626e01b57f9919e4e3ecbcf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/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_041eea874a44681c", + "api_calls": 0, + "input_tokens": 16781, + "cached_input_tokens": 15744, + "output_tokens": 934, + "total_tokens": 17715, + "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": 18662.32, + "sql_execution_elapsed_ms_total": 112.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/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_041eea874a44681c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..16d0bcfa254094097c9fe3e8caae646213a45482 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/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": "2026-05-19T15:38:15.943124+00:00", + "ended_at": "2026-05-19T15:38:34.605479+00:00", + "elapsed_ms": 18662.32, + "prompt_metrics": { + "chars": 17354, + "bytes_utf8": 17354, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1067, + "bytes_utf8": 1067, + "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": 687, + "bytes_utf8": 687, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16781, + "cached_input_tokens": 15744, + "output_tokens": 934, + "reasoning_output_tokens": 759 + } + }, + "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_041eea874a44681c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..356bd324bfa9e365256df1afb97f0a849b2d81ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/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=arrival_date_month, measure_col=arrival_date_day_of_month.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "arrival_date_month", + "measure_col": "arrival_date_day_of_month", + "item_col": "company", + "top_k": 16, + "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}, {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_041eea874a44681c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9835ee12305424b16eecb910095c1e0e11725ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-4329-7050-9522-53093a6a468c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"arrival_date_month\\\", \\\"company\\\",\\n SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) AS total_measure,\\n SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER))) OVER (PARTITION BY \\\"arrival_date_month\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_month\\\", \\\"company\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"arrival_date_month\\\", item_col=\\\"company\\\", and measure_col=\\\"arrival_date_day_of_month\\\". The measure is cast to INTEGER because the schema stores it as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16781,"cached_input_tokens":15744,"output_tokens":934,"reasoning_output_tokens":759}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..88a66fad14ef416a0c0547f5b8047ab97d0c974d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"arrival_date_month\", \"company\",\n SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER)) AS total_measure,\n SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER))) OVER (PARTITION BY \"arrival_date_month\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"arrival_date_month\", \"company\"\nORDER BY share_within_group DESC;","notes":"Uses the planned template with group_col=\"arrival_date_month\", item_col=\"company\", and measure_col=\"arrival_date_day_of_month\". The measure is cast to INTEGER because the schema stores it 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_041eea874a44681c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/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_051e520807e17830/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..67791e4a5643717d63803d57538d4b7361d8ebd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Online TA", "support": 56477, "support_share": 0.47304631878716813, "cumulative_support": 56477}, {"value_label": "Offline TA/TO", "support": 24219, "support_share": 0.20285618561018512, "cumulative_support": 80696}, {"value_label": "Groups", "support": 19811, "support_share": 0.16593517044978642, "cumulative_support": 100507}, {"value_label": "Direct", "support": 12606, "support_share": 0.1055867325571656, "cumulative_support": 113113}, {"value_label": "Corporate", "support": 5295, "support_share": 0.044350448111232094, "cumulative_support": 118408}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..629b7f1a83d3aac98860f81cb7b386e295c071c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/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: m12 +-- 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_m12_051e520807e17830 +-- problem_id: v2p_m12_59d269f932e39416 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "market_segment" AS value_label, COUNT(*) AS support + FROM "m12" + GROUP BY "market_segment" +), 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/m12/artifacts/v2q_m12_051e520807e17830/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..088262b20eadd51e580cdc4d5113728c3fd0192e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/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: m12\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m12_051e520807e17830\n-- problem_id: v2p_m12_59d269f932e39416\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"market_segment\" AS value_label, COUNT(*) AS support\n FROM \"m12\"\n GROUP BY \"market_segment\"\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: m12\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m12_051e520807e17830\\n-- problem_id: v2p_m12_59d269f932e39416\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"market_segment\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m12\\\"\\n GROUP BY \\\"market_segment\\\"\\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\": \"Online TA\", \"support\": 56477, \"support_share\": 0.47304631878716813, \"cumulative_support\": 56477}, {\"value_label\": \"Offline TA/TO\", \"support\": 24219, \"support_share\": 0.20285618561018512, \"cumulative_support\": 80696}, {\"value_label\": \"Groups\", \"support\": 19811, \"support_share\": 0.16593517044978642, \"cumulative_support\": 100507}, {\"value_label\": \"Direct\", \"support\": 12606, \"support_share\": 0.1055867325571656, \"cumulative_support\": 113113}, {\"value_label\": \"Corporate\", \"support\": 5295, \"support_share\": 0.044350448111232094, \"cumulative_support\": 118408}, {\"value_label\": \"Complementary\", \"support\": 743, \"support_share\": 0.006223301784069018, \"cumulative_support\": 119151}, {\"value_label\": \"Aviation\", \"support\": 237, \"support_share\": 0.0019850908786330514, \"cumulative_support\": 119388}, {\"value_label\": \"Undefined\", \"support\": 2, \"support_share\": 1.6751821760616466e-05, \"cumulative_support\": 119390}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 51.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..beec91d065242339086580d0a9e1a9f2a2701b17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:25.151866+00:00", + "ended_at": "2026-05-19T16:10:25.204064+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_051e520807e17830", + "problem_id": "v2p_m12_59d269f932e39416", + "dataset_id": "m12", + "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": "support_concentration", + "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=market_segment.", + "bindings": { + "group_col": "market_segment" + }, + "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=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/m12/sql/v2q_m12_051e520807e17830.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/m12/artifacts/v2q_m12_051e520807e17830/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/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/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ca497db349370bc93c920ad0b40117263cc3ec16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/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": "2026-05-19T16:09:27.330446+00:00", + "ended_at": "2026-05-19T16:09:30.235402+00:00", + "elapsed_ms": 2904.93, + "returncode": 1, + "prompt_metrics": { + "chars": 17001, + "bytes_utf8": 17001, + "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_05ec60a8d0f21f0f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7e20cdb5b687d149aebb386b3456585bd271a37d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/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": "2026-05-19T16:09:31.238659+00:00", + "ended_at": "2026-05-19T16:09:35.713111+00:00", + "elapsed_ms": 4474.41, + "returncode": 1, + "prompt_metrics": { + "chars": 17001, + "bytes_utf8": 17001, + "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_05ec60a8d0f21f0f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ef64232ab9a6e2ef21ee57e8fb3b1fb86aaff62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/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=lead_time, measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "lead_time", + "measure_col": "days_in_waiting_list", + "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": 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 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_05ec60a8d0f21f0f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ef64232ab9a6e2ef21ee57e8fb3b1fb86aaff62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/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=lead_time, measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "lead_time", + "measure_col": "days_in_waiting_list", + "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": 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 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_05ec60a8d0f21f0f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..95864bce7de1ad731a5122139e68576375810df6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-d12e-78c0-a79e-2da05919fa60"} +{"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_05ec60a8d0f21f0f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9844c951bb28fb456195a10677d93d519f036029 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-d12e-78c0-a79e-2da05919fa60"} +{"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_05ec60a8d0f21f0f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..afc4afe988c455f5b15718775eca214dcc2b10ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-e067-76f0-b447-29660f9cc8bc"} +{"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_05ec60a8d0f21f0f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..15eeea59d9d6f6b71acb92237a448c9f89826fd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-e067-76f0-b447-29660f9cc8bc"} +{"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_05ec60a8d0f21f0f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/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_05ec60a8d0f21f0f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/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_067bcd415287d614/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6441c19c790ff446c54b1aca6a5ef2b8e6a9489a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/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": "2026-05-19T16:07:53.629116+00:00", + "ended_at": "2026-05-19T16:07:56.912941+00:00", + "elapsed_ms": 3283.8, + "returncode": 1, + "prompt_metrics": { + "chars": 16895, + "bytes_utf8": 16895, + "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_067bcd415287d614/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f592a7b7d4528fc9e27f8eaac0b13b63d9210e7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/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": "2026-05-19T16:07:57.915599+00:00", + "ended_at": "2026-05-19T16:08:00.731781+00:00", + "elapsed_ms": 2816.14, + "returncode": 1, + "prompt_metrics": { + "chars": 16895, + "bytes_utf8": 16895, + "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_067bcd415287d614/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..613c91993f0969cdd9c9c1cfddd5dca0be0aab81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/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=booking_changes.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "booking_changes", + "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": 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_067bcd415287d614/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..613c91993f0969cdd9c9c1cfddd5dca0be0aab81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/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=booking_changes.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "booking_changes", + "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": 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_067bcd415287d614/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..506a94cd272211847dceb4d43e24b24537f4b558 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6317-78e0-af71-03ecb78af2a3"} +{"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_067bcd415287d614/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8e4f72011e17927c60f77b47a2e6ee52e282377 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-6317-78e0-af71-03ecb78af2a3"} +{"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_067bcd415287d614/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..33d2e8f1205b1cb0c5abcace39127fb4129f31a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-73fe-7020-9795-413dc6682eba"} +{"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_067bcd415287d614/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c337f1d829552239eb3eb5c6e4d2e49897250693 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-73fe-7020-9795-413dc6682eba"} +{"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_067bcd415287d614/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/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_067bcd415287d614/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/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_0abdd7583ba915ec/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9912b4e11e9889e6ecc17576f60e997c8395dd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/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=is_repeated_guest, condition_col=hotel. +Result preview: [{"is_repeated_guest": "0", "condition_ratio": 2.0191735019069013}, {"is_repeated_guest": "1", "condition_ratio": 1.1428571428571428}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..841f7906cb61917ce8e81ff43a601936ccb6af0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/generated_sql.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: m12 +-- 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_m12_0abdd7583ba915ec +-- problem_id: v2p_m12_98e09b0f1ac847b4 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "is_repeated_guest", + SUM(CASE WHEN "hotel" = 'City Hotel' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "hotel" = 'Resort Hotel' THEN 1 ELSE 0 END) AS denominator_count + FROM "m12" + GROUP BY "is_repeated_guest" +) +SELECT "is_repeated_guest", + 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/m12/artifacts/v2q_m12_0abdd7583ba915ec/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..45a4ba1321de2fdef0b603ea0bc883f21aac7c01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"is_repeated_guest\", \"condition_ratio\"], \"rows\": [{\"is_repeated_guest\": \"0\", \"condition_ratio\": 2.0191735019069013}, {\"is_repeated_guest\": \"1\", \"condition_ratio\": 1.1428571428571428}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 74.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1cfecba65c0432c0f18717f0777c5910d01867b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:41:54.999426+00:00", + "ended_at": "2026-05-19T15:42:04.987832+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_0abdd7583ba915ec", + "problem_id": "v2p_m12_98e09b0f1ac847b4", + "dataset_id": "m12", + "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=is_repeated_guest, condition_col=hotel.", + "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 + }, + "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=7", + "sql_variant_index=1/1", + "binding_index=42" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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/m12/sql/v2q_m12_0abdd7583ba915ec.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a84fe913d330edb6224a17858981a56530fcab76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:04.911784+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": 9902.22, "started_at": "2026-05-19T15:41:55.008282+00:00", "ended_at": "2026-05-19T15:42:04.910536+00:00", "prompt_metrics": {"chars": 17735, "bytes_utf8": 17735, "lines": 483, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..56c0ef323a2e4412b6ded039d1431877a156bbdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_0f560de10f87d9c1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e3919340f7a8983767d4f70af571e583260028b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/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": "2026-05-19T16:01:15.925408+00:00", + "ended_at": "2026-05-19T16:01:18.985929+00:00", + "elapsed_ms": 3060.49, + "returncode": 1, + "prompt_metrics": { + "chars": 17181, + "bytes_utf8": 17181, + "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_0f560de10f87d9c1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f43e019cdc7bbe2b09f1d117b2be886471638a87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/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": "2026-05-19T16:01:19.989291+00:00", + "ended_at": "2026-05-19T16:01:23.367542+00:00", + "elapsed_ms": 3378.2, + "returncode": 1, + "prompt_metrics": { + "chars": 17181, + "bytes_utf8": 17181, + "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_0f560de10f87d9c1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8fd47aa55fd452453746c17e2b63de711e6ce16b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/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=reserved_room_type, condition_col=hotel.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "reserved_room_type", + "condition_col": "hotel", + "condition_value": "City Hotel", + "positive_value": "City Hotel", + "negative_value": "Resort Hotel", + "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": 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 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_0f560de10f87d9c1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8fd47aa55fd452453746c17e2b63de711e6ce16b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/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=reserved_room_type, condition_col=hotel.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "reserved_room_type", + "condition_col": "hotel", + "condition_value": "City Hotel", + "positive_value": "City Hotel", + "negative_value": "Resort Hotel", + "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": 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 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_0f560de10f87d9c1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..69bed58b6794a37086f65bffc6cac7970402d28d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-51b3-7bb2-a95c-1580ac338b01"} +{"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_0f560de10f87d9c1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb53213d805b2c0e74235dd5f487817ed5dff4c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-51b3-7bb2-a95c-1580ac338b01"} +{"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_0f560de10f87d9c1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5597c132d541796fe4155b42fad0c96e1813e9b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-6185-7593-824b-0d157a76f052"} +{"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_0f560de10f87d9c1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a6a8cb37a780797d093b5168020d946eb2e30d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-6185-7593-824b-0d157a76f052"} +{"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_0f560de10f87d9c1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/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_0f560de10f87d9c1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0f560de10f87d9c1/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b7cb7133036ec4c930904dfec5db05284d5f972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/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=is_canceled, group_col_2=reservation_status. +Result preview: [{"is_canceled": "0", "reservation_status": "Check-Out", "row_count": 71746}, {"is_canceled": "1", "reservation_status": "Canceled", "row_count": 42853}, {"is_canceled": "1", "reservation_status": "No-Show", "row_count": 1171}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a35ecd68ade513f2192fcfc1df1f8abb9abe4916 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/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: m12 +-- 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_m12_100f748beb8bff70 +-- problem_id: v2p_m12_cb1c81ae2e55613a +-- realization_mode: agent +-- source_kind: agent +SELECT "is_canceled", "reservation_status", COUNT(*) AS row_count +FROM "m12" +WHERE "previous_bookings_not_canceled" = '0' +GROUP BY "is_canceled", "reservation_status" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9f9b7acd06739f4a679ccb379b8c450b778f9006 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/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 \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"is_canceled\", \"reservation_status\", \"row_count\"], \"rows\": [{\"is_canceled\": \"0\", \"reservation_status\": \"Check-Out\", \"row_count\": 71746}, {\"is_canceled\": \"1\", \"reservation_status\": \"Canceled\", \"row_count\": 42853}, {\"is_canceled\": \"1\", \"reservation_status\": \"No-Show\", \"row_count\": 1171}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 83.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d840ca6dec1bef3764686d2180d2ba71bf0ac915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:43:22.441985+00:00", + "ended_at": "2026-05-19T15:43:32.412689+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_100f748beb8bff70", + "problem_id": "v2p_m12_cb1c81ae2e55613a", + "dataset_id": "m12", + "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=is_canceled, group_col_2=reservation_status.", + "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 + }, + "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=3", + "sql_variant_index=1/1", + "binding_index=50" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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/m12/sql/v2q_m12_100f748beb8bff70.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..198a0d606afeff71171aa23d3c56139395a71203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:32.326821+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": 9874.09, "started_at": "2026-05-19T15:43:22.451442+00:00", "ended_at": "2026-05-19T15:43:32.325574+00:00", "prompt_metrics": {"chars": 17244, "bytes_utf8": 17244, "lines": 484, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b7b2360f252acd445b6f32663874e941a5c20e48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_1146aa430e96abaa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..780e33e6eed2e097a1f8a46c0b3765760913a1c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"required_car_parking_spaces": "0", "group_value": 23531}, {"required_car_parking_spaces": "1", "group_value": 2848}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f647505163685df309895ad77d631ff0614bdf04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/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: m12 +-- 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_m12_1146aa430e96abaa +-- problem_id: v2p_m12_a94d03b58d6f0747 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "required_car_parking_spaces", SUM(CAST("booking_changes" AS INTEGER)) AS group_value + FROM "m12" + GROUP BY "required_car_parking_spaces" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."required_car_parking_spaces", 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/m12/artifacts/v2q_m12_1146aa430e96abaa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1e5d4c6fd0235d63258a8568c6b357276f1f3adc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"required_car_parking_spaces\", \"group_value\"], \"rows\": [{\"required_car_parking_spaces\": \"0\", \"group_value\": 23531}, {\"required_car_parking_spaces\": \"1\", \"group_value\": 2848}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 75.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0273cbe97a2ac0ae0ed3d32c318f8ddf0336e631 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:50:54.870542+00:00", + "ended_at": "2026-05-19T15:51:13.158059+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_1146aa430e96abaa", + "problem_id": "v2p_m12_a94d03b58d6f0747", + "dataset_id": "m12", + "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=required_car_parking_spaces, measure_col=booking_changes.", + "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 + }, + "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=7", + "sql_variant_index=1/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "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/m12/sql/v2q_m12_1146aa430e96abaa.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce168ef6929812a78262b0bff386889a41380f68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:13.080808+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": 18200.86, "started_at": "2026-05-19T15:50:54.878061+00:00", "ended_at": "2026-05-19T15:51:13.078962+00:00", "prompt_metrics": {"chars": 17493, "bytes_utf8": 17493, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cc45dd183a4a6eec827d8a02df1a7d9bf930bd9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1146aa430e96abaa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_11d20a5cbcc1f938/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5eb6dac626b3d492fbb5492da934636d40307cdf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16896, "bytes_utf8": 16896, "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": 353, "bytes_utf8": 353, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16665, "cached_input_tokens": 12032, "output_tokens": 462, "reasoning_output_tokens": 364}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d57987d6a28b6b1fa47df0696f3b11bc974b6647 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/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_11d20a5cbcc1f938", + "api_calls": 0, + "input_tokens": 16665, + "cached_input_tokens": 12032, + "output_tokens": 462, + "total_tokens": 17127, + "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": 10498.2, + "sql_execution_elapsed_ms_total": 67.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/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_11d20a5cbcc1f938/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5142d55eb4818c5cde825b4cf86dec37a6d4a08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/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": "2026-05-19T16:07:04.713875+00:00", + "ended_at": "2026-05-19T16:07:15.212098+00:00", + "elapsed_ms": 10498.2, + "prompt_metrics": { + "chars": 16896, + "bytes_utf8": 16896, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 710, + "bytes_utf8": 710, + "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": 353, + "bytes_utf8": 353, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16665, + "cached_input_tokens": 12032, + "output_tokens": 462, + "reasoning_output_tokens": 364 + } + }, + "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_11d20a5cbcc1f938/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6393ed23e3b1dc3aa257de2c36b408b07ad915ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/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=reserved_room_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "reserved_room_type", + "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": 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_11d20a5cbcc1f938/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e0c3bd2c4b6f5fa5eca24c43a9e5183b46a8143 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-a3ff-7410-a044-0100c4ecb9d2"} +{"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 \\\"reserved_room_type\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"reserved_room_type\\\"\\nORDER BY \\\"support\\\" ASC, \\\"reserved_room_type\\\" ASC\\nLIMIT 10;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to reserved_room_type and top_k=10.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16665,"cached_input_tokens":12032,"output_tokens":462,"reasoning_output_tokens":364}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddff2800cc4248e04c1d4d27fe7e52247ee8a16a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"reserved_room_type\",\n COUNT(*) AS \"support\"\nFROM \"m12\"\nGROUP BY \"reserved_room_type\"\nORDER BY \"support\" ASC, \"reserved_room_type\" ASC\nLIMIT 10;","notes":"Uses the provided Low-Support Group Count template with group_col bound to reserved_room_type and top_k=10."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_11d20a5cbcc1f938/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_12b2d408bea688be/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f7a7096e8e80df41942a820526bf272f04c2352c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16857, "bytes_utf8": 16857, "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": 16857, "bytes_utf8": 16857, "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": 412, "bytes_utf8": 412, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16648, "cached_input_tokens": 12032, "output_tokens": 266, "reasoning_output_tokens": 154}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c7ea0cc7e45fe8ba4d4018594417732df35f8d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/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_12b2d408bea688be", + "api_calls": 0, + "input_tokens": 16648, + "cached_input_tokens": 12032, + "output_tokens": 266, + "total_tokens": 16914, + "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": 11863.99, + "sql_execution_elapsed_ms_total": 18.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/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_12b2d408bea688be/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b8a2923cf603f9f1703c9390ddebc005230e2cf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/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": "2026-05-19T16:05:08.795273+00:00", + "ended_at": "2026-05-19T16:05:12.451146+00:00", + "elapsed_ms": 3655.85, + "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_12b2d408bea688be/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..98a64ee4ee4c09fc76275f72b41fbd41d96502a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/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": "2026-05-19T16:05:13.454390+00:00", + "ended_at": "2026-05-19T16:05:21.662577+00:00", + "elapsed_ms": 8208.14, + "prompt_metrics": { + "chars": 16857, + "bytes_utf8": 16857, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 756, + "bytes_utf8": 756, + "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": 412, + "bytes_utf8": 412, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16648, + "cached_input_tokens": 12032, + "output_tokens": 266, + "reasoning_output_tokens": 154 + } + }, + "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_12b2d408bea688be/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d46efc37ad64bbd11667b2b81a86d62234498d32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/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_week_number.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "arrival_date_week_number", + "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": 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 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_12b2d408bea688be/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d46efc37ad64bbd11667b2b81a86d62234498d32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/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_week_number.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "arrival_date_week_number", + "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": 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 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_12b2d408bea688be/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c50733b3d640de6a52fc77266dd1f189916aa545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-df4e-7372-9656-665908947c0c"} +{"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_12b2d408bea688be/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..529ef8d2b669b0f1c8128271cbd255a356c7e7f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-df4e-7372-9656-665908947c0c"} +{"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_12b2d408bea688be/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8675f636ea73b22f0a9d357eddda64026e65905f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-f170-7d82-8939-1a2c3fe3127e"} +{"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(\\\"arrival_date_week_number\\\" AS REAL) <= 43.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m12\\\";\",\"notes\":\"Used the provided Threshold Rarity CDF template with measure_col bound to \\\"arrival_date_week_number\\\" and measure_threshold fixed at 43.0. CAST to REAL is included because the schema stores this field as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16648,"cached_input_tokens":12032,"output_tokens":266,"reasoning_output_tokens":154}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f8b775cc0c206c0bea4c5972eb1f47a01d28be6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"arrival_date_week_number\" AS REAL) <= 43.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m12\";","notes":"Used the provided Threshold Rarity CDF template with measure_col bound to \"arrival_date_week_number\" and measure_threshold fixed at 43.0. CAST to REAL is included because the schema stores this 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_12b2d408bea688be/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/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_12b2d408bea688be/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_12b2d408bea688be/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_134bac853cfcd408/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..448737af3104614ee93d768a7595e2658a178299 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"stays_in_weekend_nights": "12", "percentile_measure": 12.0}, {"stays_in_weekend_nights": "10", "percentile_measure": 10.0}, {"stays_in_weekend_nights": "9", "percentile_measure": 9.0}, {"stays_in_weekend_nights": "8", "percentile_measure": 8.0}, {"stays_in_weekend_nights": "7", "percentile_measure": 7.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..07dbdf4f2a009f8625f89cd2e8cc4fee0ad7dc54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/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: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m12_134bac853cfcd408 +-- problem_id: v2p_m12_51ff6e6a3807b5a1 +-- realization_mode: agent +-- source_kind: agent +SELECT + "stays_in_weekend_nights", + CAST("stays_in_weekend_nights" AS REAL) AS "percentile_measure" +FROM "m12" +WHERE "stays_in_weekend_nights" IS NOT NULL + AND "stays_in_weekend_nights" <> '' +GROUP BY "stays_in_weekend_nights" +HAVING COUNT(*) >= 5 +ORDER BY "percentile_measure" DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ee3a02ee301a833b1d23df7ab04120d88d0dcf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"stays_in_weekend_nights\", \"percentile_measure\"], \"rows\": [{\"stays_in_weekend_nights\": \"12\", \"percentile_measure\": 12.0}, {\"stays_in_weekend_nights\": \"10\", \"percentile_measure\": 10.0}, {\"stays_in_weekend_nights\": \"9\", \"percentile_measure\": 9.0}, {\"stays_in_weekend_nights\": \"8\", \"percentile_measure\": 8.0}, {\"stays_in_weekend_nights\": \"7\", \"percentile_measure\": 7.0}, {\"stays_in_weekend_nights\": \"6\", \"percentile_measure\": 6.0}, {\"stays_in_weekend_nights\": \"5\", \"percentile_measure\": 5.0}, {\"stays_in_weekend_nights\": \"4\", \"percentile_measure\": 4.0}, {\"stays_in_weekend_nights\": \"3\", \"percentile_measure\": 3.0}, {\"stays_in_weekend_nights\": \"2\", \"percentile_measure\": 2.0}, {\"stays_in_weekend_nights\": \"1\", \"percentile_measure\": 1.0}, {\"stays_in_weekend_nights\": \"0\", \"percentile_measure\": 0.0}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 56.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..13f809c24c932d25ec296eaf1559a936f810675c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:56:16.648159+00:00", + "ended_at": "2026-05-19T15:56:31.728641+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_134bac853cfcd408", + "problem_id": "v2p_m12_51ff6e6a3807b5a1", + "dataset_id": "m12", + "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=stays_in_weekend_nights, measure_col=stays_in_weekend_nights.", + "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 + }, + "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=2/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "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/m12/sql/v2q_m12_134bac853cfcd408.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5164bb1a9b637123fc1e3e6f513a0c0a9882513f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:31.670735+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": 15014.35, "started_at": "2026-05-19T15:56:16.655471+00:00", "ended_at": "2026-05-19T15:56:31.669853+00:00", "prompt_metrics": {"chars": 17127, "bytes_utf8": 17127, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c220a8891c65a0727ff88718369fd73eedcf9c7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_134bac853cfcd408/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_16401d6a433460e6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a8d54d712acb817351adbab2bb841f6cbececbf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/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": "2026-05-19T16:05:21.695494+00:00", + "ended_at": "2026-05-19T16:05:24.909811+00:00", + "elapsed_ms": 3214.29, + "returncode": 1, + "prompt_metrics": { + "chars": 16858, + "bytes_utf8": 16858, + "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_16401d6a433460e6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c5007f14bf3c2458c5eab3a5854274ad3a5ba5d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/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": "2026-05-19T16:05:25.912545+00:00", + "ended_at": "2026-05-19T16:05:29.319478+00:00", + "elapsed_ms": 3406.88, + "returncode": 1, + "prompt_metrics": { + "chars": 16858, + "bytes_utf8": 16858, + "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_16401d6a433460e6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..08acd67990f5ea7efb3c8d36ff1fde2742ed6fcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/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_day_of_month.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "arrival_date_day_of_month", + "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": 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 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_16401d6a433460e6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..08acd67990f5ea7efb3c8d36ff1fde2742ed6fcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/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_day_of_month.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "arrival_date_day_of_month", + "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": 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 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_16401d6a433460e6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2007a794be62312cf59f66939039467035dde4bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-11a6-7d20-a828-aae439c64ec5"} +{"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_16401d6a433460e6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..196981938504e430da45924cfb48cc6071645924 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-11a6-7d20-a828-aae439c64ec5"} +{"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_16401d6a433460e6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..363a4402d1c2d2e81b9db4192b82141e1fe7b8fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-222f-7992-9085-138245c04274"} +{"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_16401d6a433460e6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c87399e263781d0dbef92a273b50eedaca0923a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-222f-7992-9085-138245c04274"} +{"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_16401d6a433460e6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/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_16401d6a433460e6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_16401d6a433460e6/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_177c2fa8f9fff87f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5c3fbffff7d5ae9af9967c68d00d7aafaac91468 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:07:46.688236+00:00", + "ended_at": "2026-05-19T16:07:53.620579+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_177c2fa8f9fff87f", + "problem_id": "v2p_m12_c93d3231e4ae6922", + "dataset_id": "m12", + "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": "count_distribution", + "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 count_distribution. Focus on group_col=booking_changes.", + "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 + }, + "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=8", + "sql_variant_index=1/2", + "binding_index=127" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "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/m12/artifacts/v2q_m12_177c2fa8f9fff87f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56757d1638b64f43e59bcb19e61397ab582a7949 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_177c2fa8f9fff87f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:49.576266+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": 2878.64, "started_at": "2026-05-19T16:07:46.696728+00:00", "ended_at": "2026-05-19T16:07:49.575393+00:00", "prompt_metrics": {"chars": 16893, "bytes_utf8": 16893, "lines": 478, "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\":\"019e40fe-4819-7f61-9f43-5b3ad86413d6\"}\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": "2026-05-19T16:07:53.620490+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": 3042.24, "started_at": "2026-05-19T16:07:50.577420+00:00", "ended_at": "2026-05-19T16:07:53.619688+00:00", "prompt_metrics": {"chars": 16893, "bytes_utf8": 16893, "lines": 478, "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\":\"019e40fe-575c-7ba3-a136-b2a2531c8dd6\"}\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/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..011ad602db113dd7ff9cff2657d20a34f7546337 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:07.610712+00:00", + "ended_at": "2026-05-19T16:10:16.382647+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_1cce4f8a8ddbb49f", + "problem_id": "v2p_m12_388fca0a95ac452f", + "dataset_id": "m12", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "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 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.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "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/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19ae4fc85208d07113bae9d6523aa62b69b668ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1cce4f8a8ddbb49f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:10.830859+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": 3210.31, "started_at": "2026-05-19T16:10:07.619763+00:00", "ended_at": "2026-05-19T16:10:10.830098+00:00", "prompt_metrics": {"chars": 17008, "bytes_utf8": 17008, "lines": 480, "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\":\"019e4100-6e84-7043-9182-7a334784036f\"}\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": "2026-05-19T16:10:16.382558+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": 4548.82, "started_at": "2026-05-19T16:10:11.832898+00:00", "ended_at": "2026-05-19T16:10:16.381763+00:00", "prompt_metrics": {"chars": 17008, "bytes_utf8": 17008, "lines": 480, "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\":\"019e4100-7f07-7f90-ad24-1e29eeba60e5\"}\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/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9daa62da1bac3530ef411dc5c12b7e7aa9e8e61e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/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": 421, "bytes_utf8": 421, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16663, "cached_input_tokens": 12032, "output_tokens": 250, "reasoning_output_tokens": 144}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d1b9025de371872b2916164e7b0264c76358b1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/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_1fdb3509097316fc", + "api_calls": 0, + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 250, + "total_tokens": 16913, + "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": 10686.9, + "sql_execution_elapsed_ms_total": 50.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/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_1fdb3509097316fc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dc61ecc64e0c4e7a0576abbb1465d7655e5d9588 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/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": "2026-05-19T15:29:22.576816+00:00", + "ended_at": "2026-05-19T15:29:33.263754+00:00", + "elapsed_ms": 10686.9, + "prompt_metrics": { + "chars": 16939, + "bytes_utf8": 16939, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 775, + "bytes_utf8": 775, + "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": 421, + "bytes_utf8": 421, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 250, + "reasoning_output_tokens": 144 + } + }, + "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_1fdb3509097316fc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..03979ad7fd961c6b328dfc15d8ea27030a156dd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/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_year, measure_col=arrival_date_day_of_month.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "arrival_date_day_of_month", + "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": 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}, 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_1fdb3509097316fc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21ec5a359fd5ada2897d214568de381c53de14fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-1fa2-7f32-8742-bb65221a9593"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"arrival_date_year\\\", SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_year\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"arrival_date_year\\\" and measure_col=\\\"arrival_date_day_of_month\\\". Cast the measure to INTEGER because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16663,"cached_input_tokens":12032,"output_tokens":250,"reasoning_output_tokens":144}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24df409f7825d0cb4ec8ac0118fcd902e3827570 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"arrival_date_year\", SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER)) AS total_measure\nFROM \"m12\"\nGROUP BY \"arrival_date_year\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped-sum template with group_col=\"arrival_date_year\" and measure_col=\"arrival_date_day_of_month\". Cast the measure to INTEGER because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_1fdb3509097316fc/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ed5e1e2114a23cbf3148ebe678b2dcdecfb26b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/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=meal, condition_col=required_car_parking_spaces. +Result preview: [{"meal": "SC", "condition_ratio": 43.7436974789916}, {"meal": "Undefined", "condition_ratio": 25.568181818181817}, {"meal": "BB", "condition_ratio": 14.168474687705457}, {"meal": "HB", "condition_ratio": 14.027027027027026}, {"meal": "FB", "condition_ratio": 13.50909090909091}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..53bd53450aa99d2a4d9ebef890e86f2ba2aa1cea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/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: m12 +-- 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_m12_20a4c9fab51777d1 +-- problem_id: v2p_m12_46cdf9070ad45bf1 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "meal", + SUM(CASE WHEN "required_car_parking_spaces" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "required_car_parking_spaces" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m12" + GROUP BY "meal" +) +SELECT + "meal", + 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/m12/artifacts/v2q_m12_20a4c9fab51777d1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d657a56cb171f58c23b210ab19ed053b29a0b639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"meal\", \"condition_ratio\"], \"rows\": [{\"meal\": \"SC\", \"condition_ratio\": 43.7436974789916}, {\"meal\": \"Undefined\", \"condition_ratio\": 25.568181818181817}, {\"meal\": \"BB\", \"condition_ratio\": 14.168474687705457}, {\"meal\": \"HB\", \"condition_ratio\": 14.027027027027026}, {\"meal\": \"FB\", \"condition_ratio\": 13.50909090909091}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 67.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..333e40a562e6926576e640158510999d1cfdf0c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:41:09.990673+00:00", + "ended_at": "2026-05-19T15:41:21.274698+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_20a4c9fab51777d1", + "problem_id": "v2p_m12_46cdf9070ad45bf1", + "dataset_id": "m12", + "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=meal, condition_col=required_car_parking_spaces.", + "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 + }, + "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=4", + "sql_variant_index=1/1", + "binding_index=39" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "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/m12/sql/v2q_m12_20a4c9fab51777d1.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..58fbab155288c215e4eb1f2d7a36789124f7a4fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:21.205745+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": 11205.93, "started_at": "2026-05-19T15:41:09.998875+00:00", "ended_at": "2026-05-19T15:41:21.204838+00:00", "prompt_metrics": {"chars": 17724, "bytes_utf8": 17724, "lines": 483, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d347bb80bd6d065abe361ee62b2ffce1d09d81f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20a4c9fab51777d1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_20bdbd49b4a347c2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bd2332e2e67c6165bbab8724ff42d36fcb2dc690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:09:43.259765+00:00", + "ended_at": "2026-05-19T16:09:50.623765+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_20bdbd49b4a347c2", + "problem_id": "v2p_m12_6fc680d5c1851f7b", + "dataset_id": "m12", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "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 Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=arrival_date_year, measure_col=adr.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "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/m12/artifacts/v2q_m12_20bdbd49b4a347c2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..66b7c8384475e77422ee311e7d8dff2b10f11ea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_20bdbd49b4a347c2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:46.356248+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": 3086.03, "started_at": "2026-05-19T16:09:43.269415+00:00", "ended_at": "2026-05-19T16:09:46.355471+00:00", "prompt_metrics": {"chars": 16984, "bytes_utf8": 16984, "lines": 480, "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\":\"019e4100-0f88-7a23-b306-e36ab76a1c6f\"}\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": "2026-05-19T16:09:50.623684+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": 3265.41, "started_at": "2026-05-19T16:09:47.357429+00:00", "ended_at": "2026-05-19T16:09:50.622874+00:00", "prompt_metrics": {"chars": 16984, "bytes_utf8": 16984, "lines": 480, "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\":\"019e4100-1f5a-7080-a3ca-04f56215851d\"}\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/m12/artifacts/v2q_m12_23415a19338ee319/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..434580ee87ecb6d0e83a09588c73215bb0fa0d91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"hotel": "City Hotel", "group_value": 255980.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..afd6d53a61937866f7062deaa24c6e65656bd1be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/generated_sql.sql @@ -0,0 +1,31 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m12_23415a19338ee319 +-- problem_id: v2p_m12_d0d9e43452911210 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "hotel", + SUM(CAST(COALESCE(NULLIF("days_in_waiting_list", ''), '0') AS REAL)) AS "group_value" + FROM "m12" + GROUP BY "hotel" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."hotel", + 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/m12/artifacts/v2q_m12_23415a19338ee319/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f9800999a1af7584798c8c8a140dbe46eaeece3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hotel\", \"group_value\"], \"rows\": [{\"hotel\": \"City Hotel\", \"group_value\": 255980.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 55.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b1c3d925647652f3f7fa6d94cdb203f6c8295c72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:52:26.152589+00:00", + "ended_at": "2026-05-19T15:52:41.385663+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_23415a19338ee319", + "problem_id": "v2p_m12_d0d9e43452911210", + "dataset_id": "m12", + "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=hotel, measure_col=days_in_waiting_list.", + "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 + }, + "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=10", + "sql_variant_index=1/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "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/m12/sql/v2q_m12_23415a19338ee319.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae8dcec17b0e41a3c202c6bfc225a07b9f9d101f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:41.328039+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": 15165.59, "started_at": "2026-05-19T15:52:26.161575+00:00", "ended_at": "2026-05-19T15:52:41.327194+00:00", "prompt_metrics": {"chars": 17462, "bytes_utf8": 17462, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..90b821e3fff5c35ce11fd4d1a6aeb2c595288120 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_23415a19338ee319/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_26d1805ec5f2dde1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d01bd90ef29d9001a8c6d37dfef955de94bc8e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"hotel": "City Hotel", "total_rows": 79330, "missing_rows": 0, "missing_rate": 0.0}, {"hotel": "Resort Hotel", "total_rows": 40060, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d6c6a32b858cda8d83fe181bd1f668818443280d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/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: m12 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m12_26d1805ec5f2dde1 +-- problem_id: v2p_m12_e217b51c7e4422eb +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "hotel", + COUNT(*) AS total_rows, + SUM(CASE WHEN "children" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "children" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m12" +GROUP BY "hotel" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4572ae2c6ced4300254916794af2747aaf265427 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/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: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m12_26d1805ec5f2dde1\n-- problem_id: v2p_m12_e217b51c7e4422eb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"hotel\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"children\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"children\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"hotel\"\nORDER BY missing_rate DESC, total_rows 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: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m12_26d1805ec5f2dde1\\n-- problem_id: v2p_m12_e217b51c7e4422eb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"hotel\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"children\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"children\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"hotel\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"hotel\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"hotel\": \"City Hotel\", \"total_rows\": 79330, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"hotel\": \"Resort Hotel\", \"total_rows\": 40060, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 50.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0f4b3bba69faceb1480afd8477423bae19c6d04d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:23.428614+00:00", + "ended_at": "2026-05-19T16:10:23.480277+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_26d1805ec5f2dde1", + "problem_id": "v2p_m12_e217b51c7e4422eb", + "dataset_id": "m12", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=hotel, missing_col=children.", + "bindings": { + "missing_col": "children", + "group_col": "hotel" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "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/m12/sql/v2q_m12_26d1805ec5f2dde1.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/m12/artifacts/v2q_m12_26d1805ec5f2dde1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_26d1805ec5f2dde1/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/m12/artifacts/v2q_m12_2754a0eabe109699/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3807357cbe1132479013108b5be44e72e31c82fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:06:01.332417+00:00", + "ended_at": "2026-05-19T16:06:09.225706+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_2754a0eabe109699", + "problem_id": "v2p_m12_029dde1ce1635c83", + "dataset_id": "m12", + "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=market_segment.", + "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 + }, + "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=2", + "sql_variant_index=2/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "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/m12/artifacts/v2q_m12_2754a0eabe109699/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..31786a8b5164fe740e25a107e69b5b6d2b38875a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2754a0eabe109699/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:04.494551+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": 3146.32, "started_at": "2026-05-19T16:06:01.347328+00:00", "ended_at": "2026-05-19T16:06:04.493691+00:00", "prompt_metrics": {"chars": 16892, "bytes_utf8": 16892, "lines": 478, "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-ad29-7032-b63d-d8216f289091\"}\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": "2026-05-19T16:06:09.225616+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": 3728.34, "started_at": "2026-05-19T16:06:05.496407+00:00", "ended_at": "2026-05-19T16:06:09.224796+00:00", "prompt_metrics": {"chars": 16892, "bytes_utf8": 16892, "lines": 478, "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-bccd-7d92-9469-109dc947e2c2\"}\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/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e989061b0bd7e410ab4ed6b7cfd39cc74a49e3b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16942, "bytes_utf8": 16942, "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": 467, "bytes_utf8": 467, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16667, "cached_input_tokens": 12032, "output_tokens": 469, "reasoning_output_tokens": 351}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..957313358df9b144c52c0386d34074ba5be6e958 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/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_27badc9591ba4dfd", + "api_calls": 0, + "input_tokens": 16667, + "cached_input_tokens": 12032, + "output_tokens": 469, + "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": 11515.6, + "sql_execution_elapsed_ms_total": 60.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/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_27badc9591ba4dfd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dc65fb8eeee35c3d5263f0a728d9afcbb3f16c38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/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": "2026-05-19T15:30:13.130867+00:00", + "ended_at": "2026-05-19T15:30:24.646489+00:00", + "elapsed_ms": 11515.6, + "prompt_metrics": { + "chars": 16942, + "bytes_utf8": 16942, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 815, + "bytes_utf8": 815, + "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": 467, + "bytes_utf8": 467, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16667, + "cached_input_tokens": 12032, + "output_tokens": 469, + "reasoning_output_tokens": 351 + } + }, + "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_27badc9591ba4dfd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f631eaf478a30c97ff9dd2d43dd0516bdfcce52d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/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": 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": 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_27badc9591ba4dfd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1096b182cc44996a500c5d1ae03850c89c5b104b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-e50f-7822-a6af-ae85ea18b6be"} +{"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(NULLIF(\\\"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 provided grouped numeric sum template with arrival_date_week_number as the group and stays_in_week_nights as the summed measure. NULLIF plus CAST handles the TEXT-typed numeric column safely in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16667,"cached_input_tokens":12032,"output_tokens":469,"reasoning_output_tokens":351}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a3eff8cb06f9ec8653d35be07eba80a13a6798d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/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(NULLIF(\"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 provided grouped numeric sum template with arrival_date_week_number as the group and stays_in_week_nights as the summed measure. NULLIF plus CAST handles the TEXT-typed numeric column safely in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_27badc9591ba4dfd/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_28681110f6fc31c0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8890cb633972c7bb26afa2cb5d32def605b06c99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17328, "bytes_utf8": 17328, "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": 678, "bytes_utf8": 678, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16779, "cached_input_tokens": 15744, "output_tokens": 608, "reasoning_output_tokens": 421}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e8e65c823a5a2ee2710b1eb3c01bd73b528ce18c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/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_28681110f6fc31c0", + "api_calls": 0, + "input_tokens": 16779, + "cached_input_tokens": 15744, + "output_tokens": 608, + "total_tokens": 17387, + "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": 11041.97, + "sql_execution_elapsed_ms_total": 103.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/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_28681110f6fc31c0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..feb6aec0ad1bd4566da3d757bb6a0e10f6ccdf9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/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": "2026-05-19T15:36:37.748320+00:00", + "ended_at": "2026-05-19T15:36:48.790319+00:00", + "elapsed_ms": 11041.97, + "prompt_metrics": { + "chars": 17328, + "bytes_utf8": 17328, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1057, + "bytes_utf8": 1057, + "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": 678, + "bytes_utf8": 678, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16779, + "cached_input_tokens": 15744, + "output_tokens": 608, + "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_28681110f6fc31c0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66028bd5f665c7294fe86cde41266402fb3ff968 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/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=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": 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": 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}, {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_28681110f6fc31c0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2dbd77a5453de3e794f59d5b1ae07597eeb8b83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-c38a-75a1-b41b-b45c8c71576a"} +{"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\":\"Uses the requested within-group share template with group_col=\\\"is_canceled\\\", item_col=\\\"previous_bookings_not_canceled\\\", and lead_time cast from TEXT to REAL while treating empty strings as NULL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16779,"cached_input_tokens":15744,"output_tokens":608,"reasoning_output_tokens":421}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..28c9770c03c0a9ac68c63febec8f4ce12cfe015c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/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":"Uses the requested within-group share template with group_col=\"is_canceled\", item_col=\"previous_bookings_not_canceled\", and lead_time cast from TEXT to REAL while 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_28681110f6fc31c0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_28681110f6fc31c0/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_29bf8f177fc433a6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d681379ea8d01c74c74a90c292e62a0c9bba8428 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17494, "bytes_utf8": 17494, "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": 698, "bytes_utf8": 698, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16797, "cached_input_tokens": 15744, "output_tokens": 634, "reasoning_output_tokens": 443}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5e70d5dadd494ee46442e701094dc24d6a6f8401 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/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_29bf8f177fc433a6", + "api_calls": 0, + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 634, + "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": 16018.41, + "sql_execution_elapsed_ms_total": 68.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/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_29bf8f177fc433a6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9e81fbf95a719ebdf8658199a859d376ae7d3a26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/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": "2026-05-19T15:47:46.108248+00:00", + "ended_at": "2026-05-19T15:48:02.126708+00:00", + "elapsed_ms": 16018.41, + "prompt_metrics": { + "chars": 17494, + "bytes_utf8": 17494, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1098, + "bytes_utf8": 1098, + "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": 698, + "bytes_utf8": 698, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 634, + "reasoning_output_tokens": 443 + } + }, + "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_29bf8f177fc433a6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8ce4ebc450ed8a3e4bab7b3e6789f2a1a6bb175 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/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=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": 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": 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}, 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_29bf8f177fc433a6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3a4527339973da022863853f4dc975123fdc0ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-f6cb-7472-b142-db5b0881ebec"} +{"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 \\\"assigned_room_type\\\",\\n SUM(CAST(\\\"arrival_date_week_number\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n GROUP BY \\\"assigned_room_type\\\"\\n), total AS (\\n SELECT\\n SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT\\n g.\\\"assigned_room_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\":\"Used the required template with group_col=\\\"assigned_room_type\\\" and measure_col=\\\"arrival_date_week_number\\\". Cast the measure to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16797,"cached_input_tokens":15744,"output_tokens":634,"reasoning_output_tokens":443}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..900f35de4ac37261dfa5f70c84fac4f11da8e60d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/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(\"arrival_date_week_number\" AS REAL)) AS \"group_value\"\n FROM \"m12\"\n GROUP BY \"assigned_room_type\"\n), total AS (\n SELECT\n SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT\n g.\"assigned_room_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":"Used the required template with group_col=\"assigned_room_type\" and measure_col=\"arrival_date_week_number\". Cast the measure to REAL 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_29bf8f177fc433a6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_29bf8f177fc433a6/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6af0be4caeccc83105c3b80e2a8bbf4973f23b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/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=distribution_channel, condition_col=reservation_status. +Result preview: [{"distribution_channel": "Direct", "condition_ratio": 5.187982832618026}, {"distribution_channel": "GDS", "condition_ratio": 4.588235294117647}, {"distribution_channel": "Corporate", "condition_ratio": 3.7675597393193336}, {"distribution_channel": "TA/TO", "condition_ratio": 1.4698482224712235}, {"distribution_channel": "Undefined", "condition_ratio": 0.25}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f3fa021fa7979cac3366c91b42b4215530ddccaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/generated_sql.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: m12 +-- 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_m12_2aefd85936f7e75d +-- problem_id: v2p_m12_d46575916f8763d0 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "distribution_channel", + SUM(CASE WHEN "reservation_status" = 'Check-Out' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "reservation_status" = 'Canceled' THEN 1 ELSE 0 END) AS denominator_count + FROM "m12" + GROUP BY "distribution_channel" +) +SELECT "distribution_channel", + 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/m12/artifacts/v2q_m12_2aefd85936f7e75d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..30f1b7c1380289b384d11c91d9731e9d1767125b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"distribution_channel\", \"condition_ratio\"], \"rows\": [{\"distribution_channel\": \"Direct\", \"condition_ratio\": 5.187982832618026}, {\"distribution_channel\": \"GDS\", \"condition_ratio\": 4.588235294117647}, {\"distribution_channel\": \"Corporate\", \"condition_ratio\": 3.7675597393193336}, {\"distribution_channel\": \"TA/TO\", \"condition_ratio\": 1.4698482224712235}, {\"distribution_channel\": \"Undefined\", \"condition_ratio\": 0.25}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 66.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2556e263f09e03b35682f874e5620dd58077e2d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:41:38.676606+00:00", + "ended_at": "2026-05-19T15:41:54.998895+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_2aefd85936f7e75d", + "problem_id": "v2p_m12_d46575916f8763d0", + "dataset_id": "m12", + "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=distribution_channel, condition_col=reservation_status.", + "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 + }, + "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/m12/sql/v2q_m12_2aefd85936f7e75d.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ffe43b4b0eb77592ed54f08a3b79f32fe38ce1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:54.929959+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": 16244.06, "started_at": "2026-05-19T15:41:38.684954+00:00", "ended_at": "2026-05-19T15:41:54.929049+00:00", "prompt_metrics": {"chars": 17759, "bytes_utf8": 17759, "lines": 483, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9e1b3ab63b6bd55556b42aff062b584a36682820 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2aefd85936f7e75d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_2b4f5ec3181df713/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e36e2992b7704cc41deb0071220427507d7019a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/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": "2026-05-19T16:07:15.291719+00:00", + "ended_at": "2026-05-19T16:07:21.362317+00:00", + "elapsed_ms": 6070.57, + "returncode": 1, + "prompt_metrics": { + "chars": 16898, + "bytes_utf8": 16898, + "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_2b4f5ec3181df713/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7ae92baf8c5681f09da57fc8a5608eb3091ffc57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/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": "2026-05-19T16:07:22.365131+00:00", + "ended_at": "2026-05-19T16:07:25.276065+00:00", + "elapsed_ms": 2910.89, + "returncode": 1, + "prompt_metrics": { + "chars": 16898, + "bytes_utf8": 16898, + "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_2b4f5ec3181df713/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ebc93aff23b932985e598217e9a69700f4b97a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/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=reserved_room_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "reserved_room_type", + "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": 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_2b4f5ec3181df713/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ebc93aff23b932985e598217e9a69700f4b97a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/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=reserved_room_type.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "reserved_room_type", + "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": 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_2b4f5ec3181df713/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..123fe6614f465372a4e86d07bd5fec9f625a8161 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-cd55-7553-bbdb-41f6c42eca64"} +{"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_2b4f5ec3181df713/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4becb9e6590e9d225d0b2e921f768c311b3c20c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-cd55-7553-bbdb-41f6c42eca64"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..31aceaa2a2ba89699e36ac8cc6ecd129da4cfe69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-e911-7c51-840a-0c2cf903bb86"} +{"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_2b4f5ec3181df713/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/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_2b4f5ec3181df713/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2b4f5ec3181df713/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_2e12cf7f942507e1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fedb6531863cbeb580ed642910488159855f1a3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/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=lead_time, group_col_2=arrival_date_year. +Result preview: [{"lead_time": "0", "arrival_date_year": "2016", "row_count": 321}, {"lead_time": "0", "arrival_date_year": "2017", "row_count": 243}, {"lead_time": "1", "arrival_date_year": "2016", "row_count": 213}, {"lead_time": "0", "arrival_date_year": "2015", "row_count": 184}, {"lead_time": "2", "arrival_date_year": "2016", "row_count": 158}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bb89e0ce2000100af577c4a6f7a7be334195851d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/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: m12 +-- 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_m12_2e12cf7f942507e1 +-- problem_id: v2p_m12_f0a0cbc56cfb2acb +-- realization_mode: agent +-- source_kind: agent +SELECT "lead_time", "arrival_date_year", COUNT(*) AS "row_count" +FROM "m12" +WHERE "reserved_room_type" = 'D' +GROUP BY "lead_time", "arrival_date_year" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8a9d094cb186608ee398d53526557c9fe2fa5407 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/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 \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"lead_time\", \"arrival_date_year\", \"row_count\"], \"rows\": [{\"lead_time\": \"0\", \"arrival_date_year\": \"2016\", \"row_count\": 321}, {\"lead_time\": \"0\", \"arrival_date_year\": \"2017\", \"row_count\": 243}, {\"lead_time\": \"1\", \"arrival_date_year\": \"2016\", \"row_count\": 213}, {\"lead_time\": \"0\", \"arrival_date_year\": \"2015\", \"row_count\": 184}, {\"lead_time\": \"2\", \"arrival_date_year\": \"2016\", \"row_count\": 158}, {\"lead_time\": \"1\", \"arrival_date_year\": \"2017\", \"row_count\": 146}, {\"lead_time\": \"3\", \"arrival_date_year\": \"2016\", \"row_count\": 120}, {\"lead_time\": \"4\", \"arrival_date_year\": \"2016\", \"row_count\": 120}, {\"lead_time\": \"5\", \"arrival_date_year\": \"2016\", \"row_count\": 117}, {\"lead_time\": \"6\", \"arrival_date_year\": \"2016\", \"row_count\": 111}, {\"lead_time\": \"7\", \"arrival_date_year\": \"2017\", \"row_count\": 102}, {\"lead_time\": \"2\", \"arrival_date_year\": \"2017\", \"row_count\": 98}, {\"lead_time\": \"72\", \"arrival_date_year\": \"2016\", \"row_count\": 93}, {\"lead_time\": \"7\", \"arrival_date_year\": \"2016\", \"row_count\": 91}, {\"lead_time\": \"11\", \"arrival_date_year\": \"2016\", \"row_count\": 89}, {\"lead_time\": \"12\", \"arrival_date_year\": \"2016\", \"row_count\": 89}, {\"lead_time\": \"8\", \"arrival_date_year\": \"2016\", \"row_count\": 89}, {\"lead_time\": \"16\", \"arrival_date_year\": \"2016\", \"row_count\": 88}, {\"lead_time\": \"1\", \"arrival_date_year\": \"2015\", \"row_count\": 83}, {\"lead_time\": \"10\", \"arrival_date_year\": \"2016\", \"row_count\": 82}, {\"lead_time\": \"31\", \"arrival_date_year\": \"2016\", \"row_count\": 81}, {\"lead_time\": \"17\", \"arrival_date_year\": \"2017\", \"row_count\": 80}, {\"lead_time\": \"18\", \"arrival_date_year\": \"2016\", \"row_count\": 79}, {\"lead_time\": \"4\", \"arrival_date_year\": \"2017\", \"row_count\": 79}, {\"lead_time\": \"3\", \"arrival_date_year\": \"2017\", \"row_count\": 78}, {\"lead_time\": \"40\", \"arrival_date_year\": \"2016\", \"row_count\": 78}, {\"lead_time\": \"9\", \"arrival_date_year\": \"2016\", \"row_count\": 78}, {\"lead_time\": \"19\", \"arrival_date_year\": \"2017\", \"row_count\": 75}, {\"lead_time\": \"64\", \"arrival_date_year\": \"2016\", \"row_count\": 75}, {\"lead_time\": \"17\", \"arrival_date_year\": \"2016\", \"row_count\": 74}, {\"lead_time\": \"57\", \"arrival_date_year\": \"2016\", \"row_count\": 74}, {\"lead_time\": \"32\", \"arrival_date_year\": \"2016\", \"row_count\": 73}, {\"lead_time\": \"14\", \"arrival_date_year\": \"2016\", \"row_count\": 72}, {\"lead_time\": \"35\", \"arrival_date_year\": \"2016\", \"row_count\": 69}, {\"lead_time\": \"19\", \"arrival_date_year\": \"2016\", \"row_count\": 68}, {\"lead_time\": \"36\", \"arrival_date_year\": \"2016\", \"row_count\": 68}, {\"lead_time\": \"9\", \"arrival_date_year\": \"2017\", \"row_count\": 68}, {\"lead_time\": \"29\", \"arrival_date_year\": \"2016\", \"row_count\": 67}, {\"lead_time\": \"13\", \"arrival_date_year\": \"2016\", \"row_count\": 66}, {\"lead_time\": \"5\", \"arrival_date_year\": \"2017\", \"row_count\": 66}, {\"lead_time\": \"20\", \"arrival_date_year\": \"2016\", \"row_count\": 64}, {\"lead_time\": \"28\", \"arrival_date_year\": \"2016\", \"row_count\": 64}, {\"lead_time\": \"45\", \"arrival_date_year\": \"2016\", \"row_count\": 64}, {\"lead_time\": \"6\", \"arrival_date_year\": \"2017\", \"row_count\": 64}, {\"lead_time\": \"22\", \"arrival_date_year\": \"2016\", \"row_count\": 63}, {\"lead_time\": \"8\", \"arrival_date_year\": \"2017\", \"row_count\": 63}, {\"lead_time\": \"12\", \"arrival_date_year\": \"2017\", \"row_count\": 62}, {\"lead_time\": \"56\", \"arrival_date_year\": \"2016\", \"row_count\": 62}, {\"lead_time\": \"59\", \"arrival_date_year\": \"2016\", \"row_count\": 62}, {\"lead_time\": \"79\", \"arrival_date_year\": \"2016\", \"row_count\": 61}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 27.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8e59ad6aec70c6899d6bbac031842a3521e71929 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:43:32.413235+00:00", + "ended_at": "2026-05-19T15:43:45.776038+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_2e12cf7f942507e1", + "problem_id": "v2p_m12_f0a0cbc56cfb2acb", + "dataset_id": "m12", + "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=lead_time, group_col_2=arrival_date_year.", + "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 + }, + "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=4", + "sql_variant_index=1/1", + "binding_index=51" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "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/m12/sql/v2q_m12_2e12cf7f942507e1.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d196582ac09b8a8c75b474957935d9fce485236 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:45.746701+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": 13323.47, "started_at": "2026-05-19T15:43:32.422389+00:00", "ended_at": "2026-05-19T15:43:45.745887+00:00", "prompt_metrics": {"chars": 17227, "bytes_utf8": 17227, "lines": 484, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..91c5208a1329a9eeb421ace271fb93b02b0a1b62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2e12cf7f942507e1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_2f469935ce5499b7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..872211c4dcabe4b302910cac59424275ed23455f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "2", "support": 89680, "support_share": 0.7511516877460424, "cumulative_support": 89680}, {"value_label": "1", "support": 23027, "support_share": 0.19287209984085768, "cumulative_support": 112707}, {"value_label": "3", "support": 6202, "support_share": 0.051947399279671666, "cumulative_support": 118909}, {"value_label": "0", "support": 403, "support_share": 0.003375492084764218, "cumulative_support": 119312}, {"value_label": "4", "support": 62, "support_share": 0.0005193064745791105, "cumulative_support": 119374}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..57aca62eaea7014be0cc84432268f70f811e5e5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/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: m12 +-- 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_m12_2f469935ce5499b7 +-- problem_id: v2p_m12_017af55af0e48ea2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "adults" AS value_label, COUNT(*) AS support + FROM "m12" + GROUP BY "adults" +), 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/m12/artifacts/v2q_m12_2f469935ce5499b7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..703a6fb093fc9e9cfb9bf42cedb6ddc4753a06c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/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: m12\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m12_2f469935ce5499b7\n-- problem_id: v2p_m12_017af55af0e48ea2\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"adults\" AS value_label, COUNT(*) AS support\n FROM \"m12\"\n GROUP BY \"adults\"\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: m12\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m12_2f469935ce5499b7\\n-- problem_id: v2p_m12_017af55af0e48ea2\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"adults\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m12\\\"\\n GROUP BY \\\"adults\\\"\\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\": \"2\", \"support\": 89680, \"support_share\": 0.7511516877460424, \"cumulative_support\": 89680}, {\"value_label\": \"1\", \"support\": 23027, \"support_share\": 0.19287209984085768, \"cumulative_support\": 112707}, {\"value_label\": \"3\", \"support\": 6202, \"support_share\": 0.051947399279671666, \"cumulative_support\": 118909}, {\"value_label\": \"0\", \"support\": 403, \"support_share\": 0.003375492084764218, \"cumulative_support\": 119312}, {\"value_label\": \"4\", \"support\": 62, \"support_share\": 0.0005193064745791105, \"cumulative_support\": 119374}, {\"value_label\": \"26\", \"support\": 5, \"support_share\": 4.1879554401541165e-05, \"cumulative_support\": 119379}, {\"value_label\": \"20\", \"support\": 2, \"support_share\": 1.6751821760616466e-05, \"cumulative_support\": 119381}, {\"value_label\": \"27\", \"support\": 2, \"support_share\": 1.6751821760616466e-05, \"cumulative_support\": 119383}, {\"value_label\": \"5\", \"support\": 2, \"support_share\": 1.6751821760616466e-05, \"cumulative_support\": 119385}, {\"value_label\": \"10\", \"support\": 1, \"support_share\": 8.375910880308233e-06, \"cumulative_support\": 119386}, {\"value_label\": \"40\", \"support\": 1, \"support_share\": 8.375910880308233e-06, \"cumulative_support\": 119387}, {\"value_label\": \"50\", \"support\": 1, \"support_share\": 8.375910880308233e-06, \"cumulative_support\": 119388}, {\"value_label\": \"55\", \"support\": 1, \"support_share\": 8.375910880308233e-06, \"cumulative_support\": 119389}, {\"value_label\": \"6\", \"support\": 1, \"support_share\": 8.375910880308233e-06, \"cumulative_support\": 119390}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 61.58}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6861e5dad70ced03888e3b6051882333f46fb9b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:25.037393+00:00", + "ended_at": "2026-05-19T16:10:25.100590+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_2f469935ce5499b7", + "problem_id": "v2p_m12_017af55af0e48ea2", + "dataset_id": "m12", + "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": "support_concentration", + "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=adults.", + "bindings": { + "group_col": "adults" + }, + "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=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "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/m12/sql/v2q_m12_2f469935ce5499b7.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/m12/artifacts/v2q_m12_2f469935ce5499b7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_2f469935ce5499b7/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/m12/artifacts/v2q_m12_315bf9f4df4eeabd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..01cb0747f206fc49508967a37ea5a931e83945fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 118473, "support_share": 0.9923192897227574, "support_rank": 1}, {"value_label": "1", "support": 900, "support_share": 0.00753831979227741, "support_rank": 2}, {"value_label": "2", "support": 15, "support_share": 0.0001256386632046235, "support_rank": 3}, {"value_label": "10", "support": 1, "support_share": 8.375910880308233e-06, "support_rank": 4}, {"value_label": "9", "support": 1, "support_share": 8.375910880308233e-06, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f0a0b786f67be2ccd3f6fd6111ac827791a2bd94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/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: m12 +-- 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_m12_315bf9f4df4eeabd +-- problem_id: v2p_m12_e4f2db9980767d79 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "babies" AS value_label, COUNT(*) AS support + FROM "m12" + GROUP BY "babies" +) +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/m12/artifacts/v2q_m12_315bf9f4df4eeabd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..49159e280978b4f8097a15eb3425345237cae411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/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: m12\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_m12_315bf9f4df4eeabd\n-- problem_id: v2p_m12_e4f2db9980767d79\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"babies\" AS value_label, COUNT(*) AS support\n FROM \"m12\"\n GROUP BY \"babies\"\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: m12\\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_m12_315bf9f4df4eeabd\\n-- problem_id: v2p_m12_e4f2db9980767d79\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"babies\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m12\\\"\\n GROUP BY \\\"babies\\\"\\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\": 118473, \"support_share\": 0.9923192897227574, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 900, \"support_share\": 0.00753831979227741, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 15, \"support_share\": 0.0001256386632046235, \"support_rank\": 3}, {\"value_label\": \"10\", \"support\": 1, \"support_share\": 8.375910880308233e-06, \"support_rank\": 4}, {\"value_label\": \"9\", \"support\": 1, \"support_share\": 8.375910880308233e-06, \"support_rank\": 5}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 42.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6b622ddb98da975bcf21b2f33a834bd261d8d501 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:25.683870+00:00", + "ended_at": "2026-05-19T16:10:25.727779+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_315bf9f4df4eeabd", + "problem_id": "v2p_m12_e4f2db9980767d79", + "dataset_id": "m12", + "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=babies.", + "bindings": { + "group_col": "babies" + }, + "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=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "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/m12/sql/v2q_m12_315bf9f4df4eeabd.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/m12/artifacts/v2q_m12_315bf9f4df4eeabd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_315bf9f4df4eeabd/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/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e36ccc0cbebc4ddb07041f534077d25aa0086743 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16922, "bytes_utf8": 16922, "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": 419, "bytes_utf8": 419, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16659, "cached_input_tokens": 12032, "output_tokens": 532, "reasoning_output_tokens": 428}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0775f076f587fd6b01c1f03b1f8522f40aa0d5a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/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_32f345fbd0b76fe5", + "api_calls": 0, + "input_tokens": 16659, + "cached_input_tokens": 12032, + "output_tokens": 532, + "total_tokens": 17191, + "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": 13395.45, + "sql_execution_elapsed_ms_total": 98.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/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_32f345fbd0b76fe5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1c4a3d5cce2515df757cb841fdff2b578caa361b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/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": "2026-05-19T15:28:56.377884+00:00", + "ended_at": "2026-05-19T15:29:09.773371+00:00", + "elapsed_ms": 13395.45, + "prompt_metrics": { + "chars": 16922, + "bytes_utf8": 16922, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 773, + "bytes_utf8": 773, + "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": 419, + "bytes_utf8": 419, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16659, + "cached_input_tokens": 12032, + "output_tokens": 532, + "reasoning_output_tokens": 428 + } + }, + "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_32f345fbd0b76fe5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..15ba0dca2f9144e2da78ecb790a5c7f733b25320 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/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=lead_time, measure_col=arrival_date_week_number.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "lead_time", + "measure_col": "arrival_date_week_number", + "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": 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}, 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_32f345fbd0b76fe5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6db2e821fd14bf041c2b7211fb4232003fa28ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-b93d-71b0-b1ab-5d0056ee1c47"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"lead_time\\\", SUM(CAST(NULLIF(\\\"arrival_date_week_number\\\", '') AS INTEGER)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"lead_time\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the requested grouped numeric sum template with \\\"lead_time\\\" as the grouping column and a SQLite-safe integer cast on \\\"arrival_date_week_number\\\" because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16659,"cached_input_tokens":12032,"output_tokens":532,"reasoning_output_tokens":428}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cd138554056f634bd8c3ab7ce2eb950fc83c0d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"lead_time\", SUM(CAST(NULLIF(\"arrival_date_week_number\", '') AS INTEGER)) AS total_measure\nFROM \"m12\"\nGROUP BY \"lead_time\"\nORDER BY total_measure DESC;","notes":"Uses the requested grouped numeric sum template with \"lead_time\" as the grouping column and a SQLite-safe integer cast on \"arrival_date_week_number\" because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_32f345fbd0b76fe5/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/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eff78da104f01747ac41ace7d9fd09290e0934cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:09:35.714278+00:00", + "ended_at": "2026-05-19T16:09:43.259377+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_331f86f9af888051", + "problem_id": "v2p_m12_832f0472993742e4", + "dataset_id": "m12", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "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 Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=arrival_date_year, measure_col=adr.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "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/m12/artifacts/v2q_m12_331f86f9af888051/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ed37faacfb60f868fb69dfa6d06fcd59738ca596 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_331f86f9af888051/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:39.045543+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": 3321.45, "started_at": "2026-05-19T16:09:35.723260+00:00", "ended_at": "2026-05-19T16:09:39.044737+00:00", "prompt_metrics": {"chars": 16983, "bytes_utf8": 16983, "lines": 480, "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-f1fd-73b2-b48d-71da464fad77\"}\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": "2026-05-19T16:09:43.259273+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": 3211.74, "started_at": "2026-05-19T16:09:40.046552+00:00", "ended_at": "2026-05-19T16:09:43.258316+00:00", "prompt_metrics": {"chars": 16983, "bytes_utf8": 16983, "lines": 480, "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\":\"019e4100-02ef-7b53-932e-29b004de235d\"}\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/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6b38c54e9f637786668804c38f99c02b7522cd88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17105, "bytes_utf8": 17105, "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": 2056, "bytes_utf8": 2056, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16698, "cached_input_tokens": 15744, "output_tokens": 1158, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..127f7846c8b6b080489282af878dce2683db6214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/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_358e3d94f442caa8", + "api_calls": 0, + "input_tokens": 16698, + "cached_input_tokens": 15744, + "output_tokens": 1158, + "total_tokens": 17856, + "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": 18443.37, + "sql_execution_elapsed_ms_total": 449.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/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_358e3d94f442caa8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a7183517c0149a65e558d05554f81e510be5ad9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/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": "2026-05-19T15:54:07.309767+00:00", + "ended_at": "2026-05-19T15:54:25.753166+00:00", + "elapsed_ms": 18443.37, + "prompt_metrics": { + "chars": 17105, + "bytes_utf8": 17105, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2667, + "bytes_utf8": 2667, + "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": 2056, + "bytes_utf8": 2056, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16698, + "cached_input_tokens": 15744, + "output_tokens": 1158, + "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_358e3d94f442caa8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc4ea8f78dcd7e93d40c46878d3c678b77b34fdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/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_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": 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": 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 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_358e3d94f442caa8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..20881f43b4f53af03461a7e5c33b299b98507047 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-c763-74c1-9e33-554da317672b"} +{"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_month\\\",\\n CAST(\\\"arrival_date_year\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"arrival_date_month\\\"\\n ORDER BY CAST(\\\"arrival_date_year\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"arrival_date_month\\\") 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),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"arrival_date_month\\\",\\n (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + (0.9 * (\\\"cnt\\\" - 1))) = CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n o.\\\"arrival_date_month\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_value\\\",\\n MAX(p.\\\"pos\\\") AS \\\"pos\\\",\\n MAX(p.\\\"lower_rn\\\") AS \\\"lower_rn\\\"\\n FROM \\\"ordered\\\" AS o\\n JOIN \\\"positions\\\" AS p\\n ON o.\\\"arrival_date_month\\\" = p.\\\"arrival_date_month\\\"\\n GROUP BY o.\\\"arrival_date_month\\\"\\n)\\nSELECT\\n \\\"arrival_date_month\\\",\\n CASE\\n WHEN \\\"lower_value\\\" IS NULL THEN NULL\\n WHEN \\\"upper_value\\\" IS NULL THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.9 continuous percentile for each \\\"arrival_date_month\\\" using window functions and linear interpolation over CAST(\\\"arrival_date_year\\\" AS REAL).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16698,"cached_input_tokens":15744,"output_tokens":1158,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d551de2f9019c8dc91d44bb3f4d88d3302d25241 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"arrival_date_month\",\n CAST(\"arrival_date_year\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"arrival_date_month\"\n ORDER BY CAST(\"arrival_date_year\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"arrival_date_month\") 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),\n\"positions\" AS (\n SELECT DISTINCT\n \"arrival_date_month\",\n (1.0 + (0.9 * (\"cnt\" - 1))) AS \"pos\",\n CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + (0.9 * (\"cnt\" - 1))) = CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER)\n THEN CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"percentiles\" AS (\n SELECT\n o.\"arrival_date_month\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure_value\" END) AS \"upper_value\",\n MAX(p.\"pos\") AS \"pos\",\n MAX(p.\"lower_rn\") AS \"lower_rn\"\n FROM \"ordered\" AS o\n JOIN \"positions\" AS p\n ON o.\"arrival_date_month\" = p.\"arrival_date_month\"\n GROUP BY o.\"arrival_date_month\"\n)\nSELECT\n \"arrival_date_month\",\n CASE\n WHEN \"lower_value\" IS NULL THEN NULL\n WHEN \"upper_value\" IS NULL THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.9 continuous percentile for each \"arrival_date_month\" using window functions and linear interpolation over CAST(\"arrival_date_year\" AS REAL)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_358e3d94f442caa8/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_37d13cca1af19797/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6b600de1e1e71e9d164036b631682900494d80e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17491, "bytes_utf8": 17491, "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": 938, "bytes_utf8": 938, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16799, "cached_input_tokens": 12032, "output_tokens": 702, "reasoning_output_tokens": 456}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..00c7ff2c0f5eab8ff8465fbe4760e4f39531d3fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/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_37d13cca1af19797", + "api_calls": 0, + "input_tokens": 16799, + "cached_input_tokens": 12032, + "output_tokens": 702, + "total_tokens": 17501, + "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": 12503.54, + "sql_execution_elapsed_ms_total": 74.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/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_37d13cca1af19797/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1848b020f31bd673c90517e6cf600dc4cf3d4187 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/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": "2026-05-19T15:48:20.736610+00:00", + "ended_at": "2026-05-19T15:48:33.240175+00:00", + "elapsed_ms": 12503.54, + "prompt_metrics": { + "chars": 17491, + "bytes_utf8": 17491, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1367, + "bytes_utf8": 1367, + "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": 938, + "bytes_utf8": 938, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16799, + "cached_input_tokens": 12032, + "output_tokens": 702, + "reasoning_output_tokens": 456 + } + }, + "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_37d13cca1af19797/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1617adb8235bf9c9b2a80622195cb5b27e4562a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/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=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": 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": 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": "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_37d13cca1af19797/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6adc127f4832ca50e9f4eef2a39d859e0a171cb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-7d79-73e0-b22b-88ffe05ecf6c"} +{"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 \\\"booking_changes\\\",\\n SUM(CAST(NULLIF(\\\"arrival_date_day_of_month\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(\\\"booking_changes\\\", '') IS NOT NULL\\n AND NULLIF(\\\"arrival_date_day_of_month\\\", '') IS NOT NULL\\n GROUP BY \\\"booking_changes\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"booking_changes\\\",\\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 Relative-to-Total Extreme Threshold template with group_col=\\\"booking_changes\\\" and measure_col=\\\"arrival_date_day_of_month\\\". Because the schema stores values as TEXT, the measure is cast to REAL and empty strings are filtered out.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16799,"cached_input_tokens":12032,"output_tokens":702,"reasoning_output_tokens":456}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..af2074fd2a01089c87c7027a198b4522e1d9dcc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/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 WHERE NULLIF(\"booking_changes\", '') IS NOT NULL\n AND NULLIF(\"arrival_date_day_of_month\", '') IS NOT NULL\n GROUP BY \"booking_changes\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"booking_changes\",\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 Relative-to-Total Extreme Threshold template with group_col=\"booking_changes\" and measure_col=\"arrival_date_day_of_month\". Because the schema stores values as TEXT, the measure is cast to REAL and empty strings are filtered out."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d13cca1af19797/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_37d27917faeb38e0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..438ddd23a2c409f63dff75182a40c0b97f671975 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/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": "2026-05-19T16:09:11.398623+00:00", + "ended_at": "2026-05-19T16:09:14.589516+00:00", + "elapsed_ms": 3190.87, + "returncode": 1, + "prompt_metrics": { + "chars": 16978, + "bytes_utf8": 16978, + "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_37d27917faeb38e0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..832e8b7ebeb527016ab8a8741d7b77f7f6ea2921 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/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": "2026-05-19T16:09:15.591817+00:00", + "ended_at": "2026-05-19T16:09:18.841516+00:00", + "elapsed_ms": 3249.66, + "returncode": 1, + "prompt_metrics": { + "chars": 16978, + "bytes_utf8": 16978, + "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_37d27917faeb38e0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9de6aa24c9960ee0e0b727797f1c7b9e50d5fbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/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=is_canceled, measure_col=company.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "is_canceled", + "measure_col": "company", + "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": 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": "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_37d27917faeb38e0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9de6aa24c9960ee0e0b727797f1c7b9e50d5fbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/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=is_canceled, measure_col=company.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "is_canceled", + "measure_col": "company", + "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": 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": "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_37d27917faeb38e0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7dbd7c211c488694256a711878534defd11e4e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-92e6-78d1-9228-b26127e4151a"} +{"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_37d27917faeb38e0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e810865edc77be7f3fd9df13abe1b9c9c676a70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-92e6-78d1-9228-b26127e4151a"} +{"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_37d27917faeb38e0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f38043cea177d06a2f9fe991c7d7b882ba1d6ea5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-a339-7d21-8c61-fedbe25db5b1"} +{"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_37d27917faeb38e0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8723e9a8621d7da7f57961916323fdb4ffb6951 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-a339-7d21-8c61-fedbe25db5b1"} +{"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_37d27917faeb38e0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/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_37d27917faeb38e0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_37d27917faeb38e0/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_38b8c9a730a93315/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..87388fce32d53f6b99e3362e5d3636af19d24b28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17351, "bytes_utf8": 17351, "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": 798, "bytes_utf8": 798, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16780, "cached_input_tokens": 12288, "output_tokens": 721, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ff058dc01cdab6c9dd6a280d0a48b93ff068cedf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/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_38b8c9a730a93315", + "api_calls": 0, + "input_tokens": 16780, + "cached_input_tokens": 12288, + "output_tokens": 721, + "total_tokens": 17501, + "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": 14713.65, + "sql_execution_elapsed_ms_total": 96.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/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_38b8c9a730a93315/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..584d76767e69abb7f989e088804a994412ea5314 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/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": "2026-05-19T15:34:16.072762+00:00", + "ended_at": "2026-05-19T15:34:30.786446+00:00", + "elapsed_ms": 14713.65, + "prompt_metrics": { + "chars": 17351, + "bytes_utf8": 17351, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1185, + "bytes_utf8": 1185, + "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": 798, + "bytes_utf8": 798, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16780, + "cached_input_tokens": 12288, + "output_tokens": 721, + "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_38b8c9a730a93315/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfce252de7c23957d993c7c4ceb14bdfaab7afc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/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=required_car_parking_spaces, measure_col=company.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "required_car_parking_spaces", + "measure_col": "company", + "item_col": "arrival_date_week_number", + "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": 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}, {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_38b8c9a730a93315/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5877f5f07f8e5ab44da2adae83e76f77dca59d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-9a0f-7160-a3bd-89bad5b049aa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"required_car_parking_spaces\\\",\\n \\\"arrival_date_week_number\\\",\\n SUM(CAST(NULLIF(\\\"company\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"company\\\", '') AS REAL)) * 100.0 /\\n SUM(SUM(CAST(NULLIF(\\\"company\\\", '') AS REAL))) OVER (PARTITION BY \\\"required_car_parking_spaces\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"required_car_parking_spaces\\\", \\\"arrival_date_week_number\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned Within-Group Share of Total template with group_col=\\\"required_car_parking_spaces\\\", item_col=\\\"arrival_date_week_number\\\", and measure_col=\\\"company\\\". Since \\\"company\\\" is stored as TEXT, empty strings are treated as NULL and values are cast to REAL before aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16780,"cached_input_tokens":12288,"output_tokens":721,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..939689fd079470ffeffa876b547f0f692d386e88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"required_car_parking_spaces\",\n \"arrival_date_week_number\",\n SUM(CAST(NULLIF(\"company\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"company\", '') AS REAL)) * 100.0 /\n SUM(SUM(CAST(NULLIF(\"company\", '') AS REAL))) OVER (PARTITION BY \"required_car_parking_spaces\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"required_car_parking_spaces\", \"arrival_date_week_number\"\nORDER BY share_within_group DESC;","notes":"Uses the planned Within-Group Share of Total template with group_col=\"required_car_parking_spaces\", item_col=\"arrival_date_week_number\", and measure_col=\"company\". Since \"company\" is stored as TEXT, empty strings are treated as NULL and values are cast to REAL before aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38b8c9a730a93315/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_38fd44cc04cd6a6d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1f3e6b9e546ea1631981c7f45f65b308921f47b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16943, "bytes_utf8": 16943, "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": 419, "bytes_utf8": 419, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16663, "cached_input_tokens": 12032, "output_tokens": 307, "reasoning_output_tokens": 201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fc0e3b0a7c56b86678305c38961148a4194a1973 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/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_38fd44cc04cd6a6d", + "api_calls": 0, + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 307, + "total_tokens": 16970, + "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": 10778.51, + "sql_execution_elapsed_ms_total": 52.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/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_38fd44cc04cd6a6d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f530058591177c7680059b0faf532fddf0c5a980 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/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": "2026-05-19T15:29:33.325657+00:00", + "ended_at": "2026-05-19T15:29:44.104189+00:00", + "elapsed_ms": 10778.51, + "prompt_metrics": { + "chars": 16943, + "bytes_utf8": 16943, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 773, + "bytes_utf8": 773, + "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": 419, + "bytes_utf8": 419, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 307, + "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_38fd44cc04cd6a6d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1a27107d8a3591f5f8e160a34ed48e3757a6051 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/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_year, measure_col=arrival_date_day_of_month.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "arrival_date_day_of_month", + "top_k": 18, + "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}, 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_38fd44cc04cd6a6d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c005b177821ae33e29648e8b9e8b43f0f568bcb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-49a5-7302-88d9-f07a20fc03f6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"arrival_date_year\\\", SUM(CAST(\\\"arrival_date_day_of_month\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_year\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped-sum template with \\\"arrival_date_year\\\" as the grouping column and casts \\\"arrival_date_day_of_month\\\" from TEXT to NUMERIC before summing for SQLite compatibility.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16663,"cached_input_tokens":12032,"output_tokens":307,"reasoning_output_tokens":201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..35a21e4a7f4e09c94116a5eec1a703bb1495f73e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"arrival_date_year\", SUM(CAST(\"arrival_date_day_of_month\" AS NUMERIC)) AS total_measure\nFROM \"m12\"\nGROUP BY \"arrival_date_year\"\nORDER BY total_measure DESC;","notes":"Uses the planned grouped-sum template with \"arrival_date_year\" as the grouping column and casts \"arrival_date_day_of_month\" from TEXT to NUMERIC before summing for SQLite compatibility."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_38fd44cc04cd6a6d/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_3bb6bf42af088a22/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7c184da683e010c64ab1d442e876a81f1de2e13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "Online TA", "support": 56477, "support_share": 0.47304631878716813, "support_rank": 1}, {"value_label": "Offline TA/TO", "support": 24219, "support_share": 0.20285618561018512, "support_rank": 2}, {"value_label": "Groups", "support": 19811, "support_share": 0.16593517044978642, "support_rank": 3}, {"value_label": "Direct", "support": 12606, "support_share": 0.1055867325571656, "support_rank": 4}, {"value_label": "Corporate", "support": 5295, "support_share": 0.044350448111232094, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..87651925f6b4c1fdb8396bc91caff638187bf5ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/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: m12 +-- 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_m12_3bb6bf42af088a22 +-- problem_id: v2p_m12_5c0a279ed82e3c18 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "market_segment" AS value_label, COUNT(*) AS support + FROM "m12" + GROUP BY "market_segment" +) +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/m12/artifacts/v2q_m12_3bb6bf42af088a22/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..598fa52fb297ad2303e768aab8fe74a655c4a729 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/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: m12\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_m12_3bb6bf42af088a22\n-- problem_id: v2p_m12_5c0a279ed82e3c18\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"market_segment\" AS value_label, COUNT(*) AS support\n FROM \"m12\"\n GROUP BY \"market_segment\"\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: m12\\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_m12_3bb6bf42af088a22\\n-- problem_id: v2p_m12_5c0a279ed82e3c18\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"market_segment\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m12\\\"\\n GROUP BY \\\"market_segment\\\"\\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\": \"Online TA\", \"support\": 56477, \"support_share\": 0.47304631878716813, \"support_rank\": 1}, {\"value_label\": \"Offline TA/TO\", \"support\": 24219, \"support_share\": 0.20285618561018512, \"support_rank\": 2}, {\"value_label\": \"Groups\", \"support\": 19811, \"support_share\": 0.16593517044978642, \"support_rank\": 3}, {\"value_label\": \"Direct\", \"support\": 12606, \"support_share\": 0.1055867325571656, \"support_rank\": 4}, {\"value_label\": \"Corporate\", \"support\": 5295, \"support_share\": 0.044350448111232094, \"support_rank\": 5}, {\"value_label\": \"Complementary\", \"support\": 743, \"support_share\": 0.006223301784069018, \"support_rank\": 6}, {\"value_label\": \"Aviation\", \"support\": 237, \"support_share\": 0.0019850908786330514, \"support_rank\": 7}, {\"value_label\": \"Undefined\", \"support\": 2, \"support_share\": 1.6751821760616466e-05, \"support_rank\": 8}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 47.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..289f5df4f824347374dfd36c8fb5ff252a03554d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:25.728295+00:00", + "ended_at": "2026-05-19T16:10:25.776330+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_3bb6bf42af088a22", + "problem_id": "v2p_m12_5c0a279ed82e3c18", + "dataset_id": "m12", + "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=market_segment.", + "bindings": { + "group_col": "market_segment" + }, + "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/m12/sql/v2q_m12_3bb6bf42af088a22.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/m12/artifacts/v2q_m12_3bb6bf42af088a22/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_3bb6bf42af088a22/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/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff62b057c1afc42e9de2391a1c24c036edb473aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/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=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": 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": 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}, {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_412e9773bf999b35/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..32bae04bf89909b6c6d6a97f75b5d465e0a8fc82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-1e5a-7202-a09f-90b8b208a5fe"} +{"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(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.\"}"}} +{"type":"turn.completed","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/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_412e9773bf999b35/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_4400ec04a5841b06/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..66ae3e3c137d43a373bc9dc3bfaa95f3acb7edff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17069, "bytes_utf8": 17069, "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": 1138, "bytes_utf8": 1138, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16689, "cached_input_tokens": 12032, "output_tokens": 1679, "reasoning_output_tokens": 1370}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..13b2207fceb1df873c8cb2d25293e461c873b08e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/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_4400ec04a5841b06", + "api_calls": 0, + "input_tokens": 16689, + "cached_input_tokens": 12032, + "output_tokens": 1679, + "total_tokens": 18368, + "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": 28681.39, + "sql_execution_elapsed_ms_total": 272.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/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_4400ec04a5841b06/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ea5f84b07bada43cbfdbe5363cef03fcb9fd6d8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/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": "2026-05-19T15:57:59.491531+00:00", + "ended_at": "2026-05-19T15:58:28.172947+00:00", + "elapsed_ms": 28681.39, + "prompt_metrics": { + "chars": 17069, + "bytes_utf8": 17069, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1610, + "bytes_utf8": 1610, + "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": 1138, + "bytes_utf8": 1138, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16689, + "cached_input_tokens": 12032, + "output_tokens": 1679, + "reasoning_output_tokens": 1370 + } + }, + "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_4400ec04a5841b06/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..49e173b344d03668ce3f3a8182b6f3f343563472 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/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=children, measure_col=children.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "children", + "measure_col": "children", + "top_k": 16, + "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": "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_4400ec04a5841b06/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0ac17b89c882b179fe5d3538a1e7c0ac76d3cb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-525c-7352-91d8-2b3cffa9b883"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"filtered\\\" AS (\\n SELECT\\n CAST(TRIM(\\\"children\\\") AS REAL) AS \\\"children_num\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"children\\\" IS NOT NULL\\n AND TRIM(\\\"children\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"children_num\\\" AS \\\"children_group\\\",\\n \\\"children_num\\\" AS \\\"children_measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"children_num\\\"\\n ORDER BY \\\"children_num\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"children_num\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"filtered\\\"\\n)\\nSELECT\\n \\\"children_group\\\" AS \\\"children\\\",\\n MIN(\\\"children_measure\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" >= ((95 * \\\"cnt\\\" + 99) / 100)\\n AND \\\"cnt\\\" >= 5\\nGROUP BY \\\"children_group\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a window-function-based discrete 95th percentile. Blank \\\"children\\\" values are filtered out, values are cast to REAL, and because both the group and measure are \\\"children\\\", each group's percentile measure will match that group's numeric children value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16689,"cached_input_tokens":12032,"output_tokens":1679,"reasoning_output_tokens":1370}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..51c55f20c9ca3d8e120ac308497428c4c90e770a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"filtered\" AS (\n SELECT\n CAST(TRIM(\"children\") AS REAL) AS \"children_num\"\n FROM \"m12\"\n WHERE \"children\" IS NOT NULL\n AND TRIM(\"children\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"children_num\" AS \"children_group\",\n \"children_num\" AS \"children_measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"children_num\"\n ORDER BY \"children_num\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"children_num\"\n ) AS \"cnt\"\n FROM \"filtered\"\n)\nSELECT\n \"children_group\" AS \"children\",\n MIN(\"children_measure\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" >= ((95 * \"cnt\" + 99) / 100)\n AND \"cnt\" >= 5\nGROUP BY \"children_group\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a window-function-based discrete 95th percentile. Blank \"children\" values are filtered out, values are cast to REAL, and because both the group and measure are \"children\", each group's percentile measure will match that group's numeric children value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4400ec04a5841b06/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_45e1a549ae702273/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b53a8ddf1f9b8976e6d9713fa717d113145fdd74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16896, "bytes_utf8": 16896, "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": 360, "bytes_utf8": 360, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16666, "cached_input_tokens": 15744, "output_tokens": 227, "reasoning_output_tokens": 122}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5981d2167e3122e581298fc5c3d893d55657dfd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/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_45e1a549ae702273", + "api_calls": 0, + "input_tokens": 16666, + "cached_input_tokens": 15744, + "output_tokens": 227, + "total_tokens": 16893, + "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": 7044.05, + "sql_execution_elapsed_ms_total": 47.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/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_45e1a549ae702273/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9a07cd082c9d09a7e50aa84929f4f33d506ae6e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/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": "2026-05-19T16:06:27.977145+00:00", + "ended_at": "2026-05-19T16:06:35.021215+00:00", + "elapsed_ms": 7044.05, + "prompt_metrics": { + "chars": 16896, + "bytes_utf8": 16896, + "lines": 478, + "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": 360, + "bytes_utf8": 360, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16666, + "cached_input_tokens": 15744, + "output_tokens": 227, + "reasoning_output_tokens": 122 + } + }, + "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_45e1a549ae702273/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4effd3cae3c4722c97d6820c8cdfbcd4852190e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/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=is_repeated_guest.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "is_repeated_guest", + "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": 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\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_45e1a549ae702273/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f57616f603703116e6f30d10a8017664af35bd1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-149a-7ad1-9852-44bcf41f1b64"} +{"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 \\\"is_repeated_guest\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"is_repeated_guest\\\"\\nORDER BY \\\"support\\\" ASC, \\\"is_repeated_guest\\\"\\nLIMIT 13;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"is_repeated_guest\\\" and top_k set to 13.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16666,"cached_input_tokens":15744,"output_tokens":227,"reasoning_output_tokens":122}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..714e9c0f1f1ca2538efbc1a4dad9f8318ab4da11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"is_repeated_guest\",\n COUNT(*) AS \"support\"\nFROM \"m12\"\nGROUP BY \"is_repeated_guest\"\nORDER BY \"support\" ASC, \"is_repeated_guest\"\nLIMIT 13;","notes":"Uses the provided Low-Support Group Count template with group_col bound to \"is_repeated_guest\" and top_k set to 13."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_45e1a549ae702273/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_463a502f9ed78b4e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..326ea71de1760f5f2777bca04f51003b11321a6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17348, "bytes_utf8": 17348, "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": 771, "bytes_utf8": 771, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16779, "cached_input_tokens": 12032, "output_tokens": 708, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..faa52f4bb86cbd48ec3e6ed8bb608ada935e9547 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/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_463a502f9ed78b4e", + "api_calls": 0, + "input_tokens": 16779, + "cached_input_tokens": 12032, + "output_tokens": 708, + "total_tokens": 17487, + "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": 28922.89, + "sql_execution_elapsed_ms_total": 91.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/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_463a502f9ed78b4e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ac6091934b7beb4543cd413b73364c3841a3da7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/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": "2026-05-19T15:34:30.894828+00:00", + "ended_at": "2026-05-19T15:34:59.817749+00:00", + "elapsed_ms": 28922.89, + "prompt_metrics": { + "chars": 17348, + "bytes_utf8": 17348, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1155, + "bytes_utf8": 1155, + "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": 771, + "bytes_utf8": 771, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16779, + "cached_input_tokens": 12032, + "output_tokens": 708, + "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_463a502f9ed78b4e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b80852d7bf2d06acc6d8056c78c5834f4b97079e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/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=required_car_parking_spaces, measure_col=company.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "required_car_parking_spaces", + "measure_col": "company", + "item_col": "arrival_date_week_number", + "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": 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": "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_463a502f9ed78b4e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4991a05be8bcf12c700850c0196c4e675919c366 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-d404-75e1-a446-dae73f5e7c5b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"required_car_parking_spaces\\\", \\\"arrival_date_week_number\\\",\\n SUM(CAST(NULLIF(\\\"company\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"company\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"company\\\", '') AS REAL))) OVER (PARTITION BY \\\"required_car_parking_spaces\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"required_car_parking_spaces\\\", \\\"arrival_date_week_number\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the requested within-group share template with group_col=\\\"required_car_parking_spaces\\\", item_col=\\\"arrival_date_week_number\\\", and measure_col=\\\"company\\\". Empty \\\"company\\\" values are converted to NULL before casting so they do not contribute to the SUM.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16779,"cached_input_tokens":12032,"output_tokens":708,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0ae1fa3093c5570aff5ee4746ee9cbcd4675f63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"required_car_parking_spaces\", \"arrival_date_week_number\",\n SUM(CAST(NULLIF(\"company\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"company\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"company\", '') AS REAL))) OVER (PARTITION BY \"required_car_parking_spaces\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"required_car_parking_spaces\", \"arrival_date_week_number\"\nORDER BY share_within_group DESC;","notes":"Uses the requested within-group share template with group_col=\"required_car_parking_spaces\", item_col=\"arrival_date_week_number\", and measure_col=\"company\". Empty \"company\" values are converted to NULL before casting so they do not contribute to the SUM."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_463a502f9ed78b4e/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_472f106fcc3a9551/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb776a1266a72c7faf8aeb01d1bc8d2d8dc4f61e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 6345, "support_share": 0.05314515453555574, "support_rank": 1}, {"value_label": "1", "support": 3460, "support_share": 0.02898065164586649, "support_rank": 2}, {"value_label": "2", "support": 2069, "support_share": 0.017329759611357735, "support_rank": 3}, {"value_label": "3", "support": 1816, "support_share": 0.015210654158639753, "support_rank": 4}, {"value_label": "4", "support": 1715, "support_share": 0.01436468715972862, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fe9bf9604a19066dcf6eb96791dc15d932bd0dc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/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: m12 +-- 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_m12_472f106fcc3a9551 +-- problem_id: v2p_m12_97a5e8403569a38d +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "lead_time" AS value_label, COUNT(*) AS support + FROM "m12" + GROUP BY "lead_time" +) +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/m12/artifacts/v2q_m12_472f106fcc3a9551/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f582dafa22a20a53f459dd657bb9bc626931a7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/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: m12\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_m12_472f106fcc3a9551\n-- problem_id: v2p_m12_97a5e8403569a38d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"lead_time\" AS value_label, COUNT(*) AS support\n FROM \"m12\"\n GROUP BY \"lead_time\"\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: m12\\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_m12_472f106fcc3a9551\\n-- problem_id: v2p_m12_97a5e8403569a38d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"lead_time\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m12\\\"\\n GROUP BY \\\"lead_time\\\"\\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\": 6345, \"support_share\": 0.05314515453555574, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 3460, \"support_share\": 0.02898065164586649, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 2069, \"support_share\": 0.017329759611357735, \"support_rank\": 3}, {\"value_label\": \"3\", \"support\": 1816, \"support_share\": 0.015210654158639753, \"support_rank\": 4}, {\"value_label\": \"4\", \"support\": 1715, \"support_share\": 0.01436468715972862, \"support_rank\": 5}, {\"value_label\": \"5\", \"support\": 1565, \"support_share\": 0.013108300527682385, \"support_rank\": 6}, {\"value_label\": \"6\", \"support\": 1445, \"support_share\": 0.012103191222045397, \"support_rank\": 7}, {\"value_label\": \"7\", \"support\": 1331, \"support_share\": 0.011148337381690259, \"support_rank\": 8}, {\"value_label\": \"8\", \"support\": 1138, \"support_share\": 0.00953178658179077, \"support_rank\": 9}, {\"value_label\": \"12\", \"support\": 1079, \"support_share\": 0.009037607839852585, \"support_rank\": 10}, {\"value_label\": \"11\", \"support\": 1055, \"support_share\": 0.008836585978725187, \"support_rank\": 11}, {\"value_label\": \"9\", \"support\": 992, \"support_share\": 0.008308903593265768, \"support_rank\": 12}, {\"value_label\": \"10\", \"support\": 976, \"support_share\": 0.008174889019180835, \"support_rank\": 13}, {\"value_label\": \"14\", \"support\": 965, \"support_share\": 0.008082753999497445, \"support_rank\": 14}, {\"value_label\": \"16\", \"support\": 942, \"support_share\": 0.007890108049250355, \"support_rank\": 15}, {\"value_label\": \"17\", \"support\": 881, \"support_share\": 0.007379177485551554, \"support_rank\": 16}, {\"value_label\": \"15\", \"support\": 839, \"support_share\": 0.007027389228578608, \"support_rank\": 17}, {\"value_label\": \"19\", \"support\": 839, \"support_share\": 0.007027389228578608, \"support_rank\": 18}, {\"value_label\": \"34\", \"support\": 828, \"support_share\": 0.006935254208895217, \"support_rank\": 19}, {\"value_label\": \"18\", \"support\": 826, \"support_share\": 0.006918502387134601, \"support_rank\": 20}, {\"value_label\": \"13\", \"support\": 821, \"support_share\": 0.006876622832733059, \"support_rank\": 21}, {\"value_label\": \"28\", \"support\": 820, \"support_share\": 0.006868246921852752, \"support_rank\": 22}, {\"value_label\": \"20\", \"support\": 750, \"support_share\": 0.0062819331602311755, \"support_rank\": 23}, {\"value_label\": \"40\", \"support\": 722, \"support_share\": 0.006047407655582544, \"support_rank\": 24}, {\"value_label\": \"29\", \"support\": 712, \"support_share\": 0.005963648546779462, \"support_rank\": 25}, {\"value_label\": \"22\", \"support\": 707, \"support_share\": 0.005921768992377921, \"support_rank\": 26}, {\"value_label\": \"32\", \"support\": 690, \"support_share\": 0.005779378507412681, \"support_rank\": 27}, {\"value_label\": \"31\", \"support\": 685, \"support_share\": 0.00573749895301114, \"support_rank\": 28}, {\"value_label\": \"21\", \"support\": 678, \"support_share\": 0.005678867576848982, \"support_rank\": 29}, {\"value_label\": \"56\", \"support\": 676, \"support_share\": 0.005662115755088366, \"support_rank\": 30}, {\"value_label\": \"37\", \"support\": 673, \"support_share\": 0.005636988022447441, \"support_rank\": 31}, {\"value_label\": \"39\", \"support\": 673, \"support_share\": 0.005636988022447441, \"support_rank\": 32}, {\"value_label\": \"26\", \"support\": 671, \"support_share\": 0.005620236200686825, \"support_rank\": 33}, {\"value_label\": \"24\", \"support\": 665, \"support_share\": 0.005569980735404975, \"support_rank\": 34}, {\"value_label\": \"36\", \"support\": 663, \"support_share\": 0.005553228913644358, \"support_rank\": 35}, {\"value_label\": \"30\", \"support\": 659, \"support_share\": 0.005519725270123126, \"support_rank\": 36}, {\"value_label\": \"35\", \"support\": 655, \"support_share\": 0.005486221626601893, \"support_rank\": 37}, {\"value_label\": \"25\", \"support\": 653, \"support_share\": 0.005469469804841276, \"support_rank\": 38}, {\"value_label\": \"27\", \"support\": 649, \"support_share\": 0.005435966161320044, \"support_rank\": 39}, {\"value_label\": \"23\", \"support\": 643, \"support_share\": 0.005385710696038194, \"support_rank\": 40}, {\"value_label\": \"33\", \"support\": 643, \"support_share\": 0.005385710696038194, \"support_rank\": 41}, {\"value_label\": \"44\", \"support\": 633, \"support_share\": 0.005301951587235112, \"support_rank\": 42}, {\"value_label\": \"41\", \"support\": 607, \"support_share\": 0.005084177904347098, \"support_rank\": 43}, {\"value_label\": \"38\", \"support\": 575, \"support_share\": 0.004816148756177235, \"support_rank\": 44}, {\"value_label\": \"55\", \"support\": 575, \"support_share\": 0.004816148756177235, \"support_rank\": 45}, {\"value_label\": \"47\", \"support\": 568, \"support_share\": 0.004757517380015077, \"support_rank\": 46}, {\"value_label\": \"68\", \"support\": 564, \"support_share\": 0.004724013736493843, \"support_rank\": 47}, {\"value_label\": \"69\", \"support\": 558, \"support_share\": 0.004673758271211994, \"support_rank\": 48}, {\"value_label\": \"45\", \"support\": 537, \"support_share\": 0.004497864142725521, \"support_rank\": 49}, {\"value_label\": \"72\", \"support\": 531, \"support_share\": 0.004447608677443672, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 57.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..26ba67f8e790746b2b3ec3caeb8b7c5333175fc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:25.483751+00:00", + "ended_at": "2026-05-19T16:10:25.542599+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_472f106fcc3a9551", + "problem_id": "v2p_m12_97a5e8403569a38d", + "dataset_id": "m12", + "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=lead_time.", + "bindings": { + "group_col": "lead_time" + }, + "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=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/m12/sql/v2q_m12_472f106fcc3a9551.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/m12/artifacts/v2q_m12_472f106fcc3a9551/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_472f106fcc3a9551/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/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95e6b5070960e14ee469c7907bbbf1326cc21da5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17239, "bytes_utf8": 17239, "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": 476, "bytes_utf8": 476, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16754, "cached_input_tokens": 15744, "output_tokens": 456, "reasoning_output_tokens": 336}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5fcce75c00f267b53939bc122b051ce3f948770c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/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_4924ed1eeb0b6028", + "api_calls": 0, + "input_tokens": 16754, + "cached_input_tokens": 15744, + "output_tokens": 456, + "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": 14874.02, + "sql_execution_elapsed_ms_total": 30.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/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_4924ed1eeb0b6028/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..76b49c89ac16b16326d21e2c998ad067fc09781b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/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": "2026-05-19T15:43:56.394796+00:00", + "ended_at": "2026-05-19T15:44:11.268846+00:00", + "elapsed_ms": 14874.02, + "prompt_metrics": { + "chars": 17239, + "bytes_utf8": 17239, + "lines": 484, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 843, + "bytes_utf8": 843, + "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": 476, + "bytes_utf8": 476, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16754, + "cached_input_tokens": 15744, + "output_tokens": 456, + "reasoning_output_tokens": 336 + } + }, + "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_4924ed1eeb0b6028/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8752b952f2e20b238c15cb38640338f253dbb2c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/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_week_number.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "lead_time", + "group_col_2": "arrival_date_week_number", + "predicate_col": "booking_changes", + "predicate_op": ">=", + "predicate_value": 3.0, + "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": 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}, {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_4924ed1eeb0b6028/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bf5c19ace0c0b62abf03f282a334427b9c2f8d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-74ef-7040-9392-ece9a10c2d44"} +{"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_week_number\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nWHERE CAST(\\\"booking_changes\\\" AS REAL) >= 3.0\\nGROUP BY \\\"lead_time\\\", \\\"arrival_date_week_number\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the required filtered two-dimensional group-count template with the bound columns. CAST is applied to \\\"booking_changes\\\" because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16754,"cached_input_tokens":15744,"output_tokens":456,"reasoning_output_tokens":336}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a7187833141aa021c0bf1ea7af2bd16b418eb89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"lead_time\", \"arrival_date_week_number\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nWHERE CAST(\"booking_changes\" AS REAL) >= 3.0\nGROUP BY \"lead_time\", \"arrival_date_week_number\"\nORDER BY \"row_count\" DESC;","notes":"Used the required filtered two-dimensional group-count template with the bound columns. CAST is applied to \"booking_changes\" 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_4924ed1eeb0b6028/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4924ed1eeb0b6028/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_49b59756c3b5e31f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..475db6da4fef69590458559d5a036d87b44672c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/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": "2026-05-19T15:57:51.843740+00:00", + "ended_at": "2026-05-19T15:57:55.065660+00:00", + "elapsed_ms": 3221.89, + "returncode": 1, + "prompt_metrics": { + "chars": 17064, + "bytes_utf8": 17064, + "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_49b59756c3b5e31f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..52d779f2944b8f9ce13eec5227f2603bb9eab192 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/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": "2026-05-19T15:57:56.068723+00:00", + "ended_at": "2026-05-19T15:57:59.478658+00:00", + "elapsed_ms": 3409.88, + "returncode": 1, + "prompt_metrics": { + "chars": 17064, + "bytes_utf8": 17064, + "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_49b59756c3b5e31f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab936f940ef253787e7fb2f9d89af83c26514cee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/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=children, measure_col=children.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "children", + "measure_col": "children", + "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 {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_49b59756c3b5e31f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab936f940ef253787e7fb2f9d89af83c26514cee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/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=children, measure_col=children.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "children", + "measure_col": "children", + "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 {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_49b59756c3b5e31f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..904fb9fff1f8c634af5c554a61f59f25bf3dd083 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-345d-7591-8bd9-b4d3e53fbc3d"} +{"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_49b59756c3b5e31f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..259bc1840250d6033d10e4ed6da821d9e424bed0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-345d-7591-8bd9-b4d3e53fbc3d"} +{"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_49b59756c3b5e31f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce63e0860626b860cee8477fcd16b203e62b2db2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-44f3-7df3-8682-b385a0ee02bf"} +{"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_49b59756c3b5e31f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f14748134a6bbd8b0465fd448f79f55c2bee51d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-44f3-7df3-8682-b385a0ee02bf"} +{"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_49b59756c3b5e31f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/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_49b59756c3b5e31f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_49b59756c3b5e31f/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_4a1623ad65143456/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d9565408f7471c8c481a6501b135e7f601551f38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17371, "bytes_utf8": 17371, "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": 753, "bytes_utf8": 753, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16791, "cached_input_tokens": 15744, "output_tokens": 691, "reasoning_output_tokens": 479}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a4946390d47a8d127ced363a5c9db5487df2ec82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/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_4a1623ad65143456", + "api_calls": 0, + "input_tokens": 16791, + "cached_input_tokens": 15744, + "output_tokens": 691, + "total_tokens": 17482, + "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": 15085.64, + "sql_execution_elapsed_ms_total": 79.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/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_4a1623ad65143456/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5f8e919682c217eb00791194a7c1dc5317f7cc36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/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": "2026-05-19T15:38:34.731392+00:00", + "ended_at": "2026-05-19T15:38:49.817060+00:00", + "elapsed_ms": 15085.64, + "prompt_metrics": { + "chars": 17371, + "bytes_utf8": 17371, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1136, + "bytes_utf8": 1136, + "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": 16791, + "cached_input_tokens": 15744, + "output_tokens": 691, + "reasoning_output_tokens": 479 + } + }, + "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_4a1623ad65143456/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c2619e0dfdded52113c3ec27e7179888090ca2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/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=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": 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 {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_4a1623ad65143456/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b48166f66ba768765aeab66ba3cd301db55eda0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-8c7c-73f1-a04a-ad47253491e6"} +{"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\\n / 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\":\"Used the provided within-group share template with group_col=\\\"arrival_date_week_number\\\", item_col=\\\"days_in_waiting_list\\\", and measure_col=\\\"stays_in_weekend_nights\\\". Cast the measure to REAL because the schema stores fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16791,"cached_input_tokens":15744,"output_tokens":691,"reasoning_output_tokens":479}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd7a528ccb4f3e1a2a8c5fa59996f8a61ab6d9ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/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\n / 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":"Used the provided within-group share template with group_col=\"arrival_date_week_number\", item_col=\"days_in_waiting_list\", and measure_col=\"stays_in_weekend_nights\". Cast the measure to REAL because the schema stores 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_4a1623ad65143456/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a1623ad65143456/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/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7b097bc72d18c0553e1c44712114846fa6ed6fb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:08:00.733070+00:00", + "ended_at": "2026-05-19T16:08:08.609502+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_4a9712ea8d51ee8e", + "problem_id": "v2p_m12_9063a17361f2b923", + "dataset_id": "m12", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "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 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.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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", + "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/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..deb7cb3f7efae766062757f403fdbe46ffe8128b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4a9712ea8d51ee8e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:04.148333+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": 3406.27, "started_at": "2026-05-19T16:08:00.741294+00:00", "ended_at": "2026-05-19T16:08:04.147593+00:00", "prompt_metrics": {"chars": 17007, "bytes_utf8": 17007, "lines": 480, "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\":\"019e40fe-7ee4-74f1-b0e9-ff7d70beed93\"}\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": "2026-05-19T16:08:08.609417+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": 3458.61, "started_at": "2026-05-19T16:08:05.150068+00:00", "ended_at": "2026-05-19T16:08:08.608708+00:00", "prompt_metrics": {"chars": 17007, "bytes_utf8": 17007, "lines": 480, "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\":\"019e40fe-9024-7841-beda-629c01d42cf2\"}\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/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9bb62a045cc9d1fd28a4763505bab5d376b6f31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/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=lead_time, group_col_2=arrival_date_month. +Result preview: [{"lead_time": "0", "arrival_date_month": "January", "row_count": 77}, {"lead_time": "0", "arrival_date_month": "February", "row_count": 74}, {"lead_time": "0", "arrival_date_month": "October", "row_count": 64}, {"lead_time": "0", "arrival_date_month": "December", "row_count": 55}, {"lead_time": "0", "arrival_date_month": "April", "row_count": 41}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ef2ba05355e8230336aef58e59c0f590c04c542 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/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: m12 +-- 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_m12_4ca2dd165e2ec27b +-- problem_id: v2p_m12_ad40c54bce392361 +-- realization_mode: agent +-- source_kind: agent +SELECT "lead_time", "arrival_date_month", COUNT(*) AS row_count +FROM "m12" +WHERE "assigned_room_type" = 'E' +GROUP BY "lead_time", "arrival_date_month" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..646ba6a9504a51f4a4b04874a7f6589bdab268ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/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 \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"lead_time\", \"arrival_date_month\", \"row_count\"], \"rows\": [{\"lead_time\": \"0\", \"arrival_date_month\": \"January\", \"row_count\": 77}, {\"lead_time\": \"0\", \"arrival_date_month\": \"February\", \"row_count\": 74}, {\"lead_time\": \"0\", \"arrival_date_month\": \"October\", \"row_count\": 64}, {\"lead_time\": \"0\", \"arrival_date_month\": \"December\", \"row_count\": 55}, {\"lead_time\": \"0\", \"arrival_date_month\": \"April\", \"row_count\": 41}, {\"lead_time\": \"0\", \"arrival_date_month\": \"May\", \"row_count\": 41}, {\"lead_time\": \"0\", \"arrival_date_month\": \"August\", \"row_count\": 40}, {\"lead_time\": \"0\", \"arrival_date_month\": \"March\", \"row_count\": 39}, {\"lead_time\": \"0\", \"arrival_date_month\": \"July\", \"row_count\": 38}, {\"lead_time\": \"1\", \"arrival_date_month\": \"April\", \"row_count\": 36}, {\"lead_time\": \"0\", \"arrival_date_month\": \"November\", \"row_count\": 35}, {\"lead_time\": \"0\", \"arrival_date_month\": \"September\", \"row_count\": 33}, {\"lead_time\": \"1\", \"arrival_date_month\": \"February\", \"row_count\": 29}, {\"lead_time\": \"1\", \"arrival_date_month\": \"January\", \"row_count\": 29}, {\"lead_time\": \"1\", \"arrival_date_month\": \"May\", \"row_count\": 28}, {\"lead_time\": \"1\", \"arrival_date_month\": \"December\", \"row_count\": 26}, {\"lead_time\": \"1\", \"arrival_date_month\": \"March\", \"row_count\": 25}, {\"lead_time\": \"1\", \"arrival_date_month\": \"October\", \"row_count\": 25}, {\"lead_time\": \"3\", \"arrival_date_month\": \"February\", \"row_count\": 24}, {\"lead_time\": \"26\", \"arrival_date_month\": \"March\", \"row_count\": 23}, {\"lead_time\": \"4\", \"arrival_date_month\": \"February\", \"row_count\": 23}, {\"lead_time\": \"2\", \"arrival_date_month\": \"March\", \"row_count\": 22}, {\"lead_time\": \"103\", \"arrival_date_month\": \"March\", \"row_count\": 21}, {\"lead_time\": \"3\", \"arrival_date_month\": \"January\", \"row_count\": 21}, {\"lead_time\": \"1\", \"arrival_date_month\": \"July\", \"row_count\": 20}, {\"lead_time\": \"138\", \"arrival_date_month\": \"April\", \"row_count\": 20}, {\"lead_time\": \"1\", \"arrival_date_month\": \"August\", \"row_count\": 19}, {\"lead_time\": \"1\", \"arrival_date_month\": \"September\", \"row_count\": 19}, {\"lead_time\": \"2\", \"arrival_date_month\": \"January\", \"row_count\": 19}, {\"lead_time\": \"2\", \"arrival_date_month\": \"May\", \"row_count\": 19}, {\"lead_time\": \"388\", \"arrival_date_month\": \"May\", \"row_count\": 19}, {\"lead_time\": \"49\", \"arrival_date_month\": \"March\", \"row_count\": 19}, {\"lead_time\": \"0\", \"arrival_date_month\": \"June\", \"row_count\": 18}, {\"lead_time\": \"26\", \"arrival_date_month\": \"April\", \"row_count\": 17}, {\"lead_time\": \"32\", \"arrival_date_month\": \"April\", \"row_count\": 17}, {\"lead_time\": \"4\", \"arrival_date_month\": \"January\", \"row_count\": 17}, {\"lead_time\": \"2\", \"arrival_date_month\": \"April\", \"row_count\": 16}, {\"lead_time\": \"2\", \"arrival_date_month\": \"October\", \"row_count\": 16}, {\"lead_time\": \"6\", \"arrival_date_month\": \"February\", \"row_count\": 16}, {\"lead_time\": \"2\", \"arrival_date_month\": \"August\", \"row_count\": 15}, {\"lead_time\": \"21\", \"arrival_date_month\": \"November\", \"row_count\": 15}, {\"lead_time\": \"3\", \"arrival_date_month\": \"March\", \"row_count\": 15}, {\"lead_time\": \"3\", \"arrival_date_month\": \"October\", \"row_count\": 15}, {\"lead_time\": \"40\", \"arrival_date_month\": \"January\", \"row_count\": 15}, {\"lead_time\": \"5\", \"arrival_date_month\": \"August\", \"row_count\": 15}, {\"lead_time\": \"1\", \"arrival_date_month\": \"November\", \"row_count\": 14}, {\"lead_time\": \"107\", \"arrival_date_month\": \"August\", \"row_count\": 14}, {\"lead_time\": \"112\", \"arrival_date_month\": \"March\", \"row_count\": 14}, {\"lead_time\": \"225\", \"arrival_date_month\": \"May\", \"row_count\": 14}, {\"lead_time\": \"5\", \"arrival_date_month\": \"May\", \"row_count\": 14}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 22.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ac23d105eff94e4031bf3fc914ab21754b64a307 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:43:45.776572+00:00", + "ended_at": "2026-05-19T15:43:56.386693+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_4ca2dd165e2ec27b", + "problem_id": "v2p_m12_ad40c54bce392361", + "dataset_id": "m12", + "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=lead_time, group_col_2=arrival_date_month.", + "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 + }, + "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=5", + "sql_variant_index=1/1", + "binding_index=52" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 5, + "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/m12/sql/v2q_m12_4ca2dd165e2ec27b.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd72ca0571ce45b0e933e840bf44581ef8fd56cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:56.363082+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": 10579.07, "started_at": "2026-05-19T15:43:45.783263+00:00", "ended_at": "2026-05-19T15:43:56.362356+00:00", "prompt_metrics": {"chars": 17230, "bytes_utf8": 17230, "lines": 484, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e3e7683c817a4dbeb512e1f11dc05815df8346f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4ca2dd165e2ec27b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_4f47c24e113c8dfa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..67b0fc4fc57c7a4c7bf7c00f849cbf583b64ed21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/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=total_of_special_requests, measure_col=days_in_waiting_list. +Result preview: [{"total_of_special_requests": "4", "arrival_date_day_of_month": "13", "total_measure": 8.0, "share_within_group": 100.0}, {"total_of_special_requests": "3", "arrival_date_day_of_month": "23", "total_measure": 59.0, "share_within_group": 84.28571428571429}, {"total_of_special_requests": "2", "arrival_date_day_of_month": "14", "total_measure": 215.0, "share_within_group": 38.46153846153846}, {"total_of_special_requests": "2", "arrival_date_day_of_month": "20", "total_measure": 187.0, "share_within_group": 33.452593917710196}, {"total_of_special_requests": "2", "arrival_date_day_of_month": "9", "total_measure": 101.0, "share_within_group": 18.067978533094813}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5dc4006fb0825d36962ccc1e11c8038db3f512df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/generated_sql.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: m12 +-- 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_m12_4f47c24e113c8dfa +-- problem_id: v2p_m12_412c7fdb457b69e5 +-- realization_mode: agent +-- source_kind: agent +SELECT + "total_of_special_requests", + "arrival_date_day_of_month", + SUM(COALESCE(CAST(NULLIF("days_in_waiting_list", '') AS REAL), 0)) AS "total_measure", + SUM(COALESCE(CAST(NULLIF("days_in_waiting_list", '') AS REAL), 0)) * 100.0 + / SUM(SUM(COALESCE(CAST(NULLIF("days_in_waiting_list", '') AS REAL), 0))) OVER ( + PARTITION BY "total_of_special_requests" + ) AS "share_within_group" +FROM "m12" +GROUP BY "total_of_special_requests", "arrival_date_day_of_month" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..87542e190fb157e0e3b331853067620fb9126149 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/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\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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"total_of_special_requests\", \"arrival_date_day_of_month\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"total_of_special_requests\": \"4\", \"arrival_date_day_of_month\": \"13\", \"total_measure\": 8.0, \"share_within_group\": 100.0}, {\"total_of_special_requests\": \"3\", \"arrival_date_day_of_month\": \"23\", \"total_measure\": 59.0, \"share_within_group\": 84.28571428571429}, {\"total_of_special_requests\": \"2\", \"arrival_date_day_of_month\": \"14\", \"total_measure\": 215.0, \"share_within_group\": 38.46153846153846}, {\"total_of_special_requests\": \"2\", \"arrival_date_day_of_month\": \"20\", \"total_measure\": 187.0, \"share_within_group\": 33.452593917710196}, {\"total_of_special_requests\": \"2\", \"arrival_date_day_of_month\": \"9\", \"total_measure\": 101.0, \"share_within_group\": 18.067978533094813}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"11\", \"total_measure\": 3367.0, \"share_within_group\": 17.534631809186543}, {\"total_of_special_requests\": \"3\", \"arrival_date_day_of_month\": \"9\", \"total_measure\": 11.0, \"share_within_group\": 15.714285714285714}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"16\", \"total_measure\": 2494.0, \"share_within_group\": 12.98823039266743}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"22\", \"total_measure\": 1920.0, \"share_within_group\": 9.998958441828977}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"20\", \"total_measure\": 25663.0, \"share_within_group\": 9.974619387989101}, {\"total_of_special_requests\": \"2\", \"arrival_date_day_of_month\": \"15\", \"total_measure\": 50.0, \"share_within_group\": 8.94454382826476}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"22\", \"total_measure\": 16448.0, \"share_within_group\": 6.392960281091249}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"5\", \"total_measure\": 1185.0, \"share_within_group\": 6.171232163316321}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"17\", \"total_measure\": 1180.0, \"share_within_group\": 6.145193209040725}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"9\", \"total_measure\": 1139.0, \"share_within_group\": 5.931673783980835}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"30\", \"total_measure\": 15224.0, \"share_within_group\": 5.917219559784362}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"30\", \"total_measure\": 1129.0, \"share_within_group\": 5.879595875429643}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"26\", \"total_measure\": 13769.0, \"share_within_group\": 5.351694437642596}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"28\", \"total_measure\": 13349.0, \"share_within_group\": 5.188450072488272}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"28\", \"total_measure\": 986.0, \"share_within_group\": 5.134881783147589}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"7\", \"total_measure\": 905.0, \"share_within_group\": 4.713050723882929}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"7\", \"total_measure\": 11913.0, \"share_within_group\": 4.6303098144844395}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"12\", \"total_measure\": 883.0, \"share_within_group\": 4.598479325070305}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"25\", \"total_measure\": 11664.0, \"share_within_group\": 4.533529226571519}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"24\", \"total_measure\": 870.0, \"share_within_group\": 4.530778043953755}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"5\", \"total_measure\": 11606.0, \"share_within_group\": 4.510985957097827}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"13\", \"total_measure\": 11522.0, \"share_within_group\": 4.478337084066961}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"4\", \"total_measure\": 11433.0, \"share_within_group\": 4.4437448257366405}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"19\", \"total_measure\": 10282.0, \"share_within_group\": 3.9963775298018134}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"14\", \"total_measure\": 9216.0, \"share_within_group\": 3.582047783957743}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"18\", \"total_measure\": 8765.0, \"share_within_group\": 3.40675442994679}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"14\", \"total_measure\": 629.0, \"share_within_group\": 3.2757004478700136}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"21\", \"total_measure\": 8417.0, \"share_within_group\": 3.2714948131046357}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"9\", \"total_measure\": 8341.0, \"share_within_group\": 3.241955356552901}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"18\", \"total_measure\": 611.0, \"share_within_group\": 3.181960212477867}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"15\", \"total_measure\": 7649.0, \"share_within_group\": 2.972990831108157}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"23\", \"total_measure\": 6896.0, \"share_within_group\": 2.680317005010047}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"16\", \"total_measure\": 5734.0, \"share_within_group\": 2.228674261416417}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"1\", \"total_measure\": 5709.0, \"share_within_group\": 2.2189573349191356}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"12\", \"total_measure\": 5436.0, \"share_within_group\": 2.112848497568825}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"24\", \"total_measure\": 5100.0, \"share_within_group\": 1.9822530054453655}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"27\", \"total_measure\": 4737.0, \"share_within_group\": 1.8411632327048426}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"2\", \"total_measure\": 4636.0, \"share_within_group\": 1.8019068496558264}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"21\", \"total_measure\": 316.0, \"share_within_group\": 1.6456619102176857}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"17\", \"total_measure\": 4196.0, \"share_within_group\": 1.6308889433036773}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"8\", \"total_measure\": 4080.0, \"share_within_group\": 1.5858024043562924}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"27\", \"total_measure\": 301.0, \"share_within_group\": 1.5675450473908967}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"20\", \"total_measure\": 299.0, \"share_within_group\": 1.5571294656806582}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"29\", \"total_measure\": 3669.0, \"share_within_group\": 1.4260561327409895}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"8\", \"total_measure\": 272.0, \"share_within_group\": 1.4165191125924383}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 105.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4d49e5b5fa7dae68ca2ac42ce500f75f1aaddc36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:35:14.482922+00:00", + "ended_at": "2026-05-19T15:35:38.482895+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_4f47c24e113c8dfa", + "problem_id": "v2p_m12_412c7fdb457b69e5", + "dataset_id": "m12", + "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=total_of_special_requests, measure_col=days_in_waiting_list.", + "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 + }, + "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=2", + "sql_variant_index=2/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "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/m12/sql/v2q_m12_4f47c24e113c8dfa.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..362eb0202dd7e170c2b57a463ac98a056fa00a56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:38.374957+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": 23883.36, "started_at": "2026-05-19T15:35:14.490841+00:00", "ended_at": "2026-05-19T15:35:38.374222+00:00", "prompt_metrics": {"chars": 17376, "bytes_utf8": 17376, "lines": 482, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..319c9ad724c69c7da77986c89f1624512484dda3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_4f47c24e113c8dfa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_52d76d891fad1603/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6668492e1c9d911dfd2654cc779fadcc5ca1f32e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:08:44.664646+00:00", + "ended_at": "2026-05-19T16:08:54.469689+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_52d76d891fad1603", + "problem_id": "v2p_m12_46ca1c154d39fbc2", + "dataset_id": "m12", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=hotel, measure_col=agent.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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/m12/artifacts/v2q_m12_52d76d891fad1603/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..21ee42a8b8a03b85ee617fb21c0e854a9c8bd261 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_52d76d891fad1603/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:49.261583+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": 4587.02, "started_at": "2026-05-19T16:08:44.673787+00:00", "ended_at": "2026-05-19T16:08:49.260846+00:00", "prompt_metrics": {"chars": 16958, "bytes_utf8": 16958, "lines": 480, "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-2a96-7362-9b5d-7cb261993624\"}\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": "2026-05-19T16:08:54.469587+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": 4206.18, "started_at": "2026-05-19T16:08:50.262491+00:00", "ended_at": "2026-05-19T16:08:54.468695+00:00", "prompt_metrics": {"chars": 16958, "bytes_utf8": 16958, "lines": 480, "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-404b-7532-aed5-bb0b05d2e90d\"}\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/m12/artifacts/v2q_m12_534587b5ae6f5b15/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c132353469de211c34cc6a1e5bb744fbeb4a1bcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"stays_in_week_nights": "2", "support": 33684, "avg_response": 27.438101175632347}, {"stays_in_week_nights": "1", "support": 30310, "avg_response": 26.37951171230617}, {"stays_in_week_nights": "3", "support": 22258, "avg_response": 26.828780663132356}, {"stays_in_week_nights": "5", "support": 11077, "avg_response": 28.085221630405343}, {"stays_in_week_nights": "4", "support": 9563, "avg_response": 27.85548468053958}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f2836451e3fc18355c3075f6bba1c0bd534ad455 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/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: m12 +-- 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_m12_534587b5ae6f5b15 +-- problem_id: v2p_m12_4235bc9063261521 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "stays_in_week_nights", + COUNT(*) AS support, + AVG("arrival_date_week_number") AS avg_response +FROM "m12" +GROUP BY "stays_in_week_nights" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..657a3d7b8fc6fb2e4fa0e1d5b2a0f38aba775842 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/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: m12\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_m12_534587b5ae6f5b15\n-- problem_id: v2p_m12_4235bc9063261521\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"stays_in_week_nights\",\n COUNT(*) AS support,\n AVG(\"arrival_date_week_number\") AS avg_response\nFROM \"m12\"\nGROUP BY \"stays_in_week_nights\"\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: m12\\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_m12_534587b5ae6f5b15\\n-- problem_id: v2p_m12_4235bc9063261521\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"stays_in_week_nights\\\",\\n COUNT(*) AS support,\\n AVG(\\\"arrival_date_week_number\\\") AS avg_response\\nFROM \\\"m12\\\"\\nGROUP BY \\\"stays_in_week_nights\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"stays_in_week_nights\", \"support\", \"avg_response\"], \"rows\": [{\"stays_in_week_nights\": \"2\", \"support\": 33684, \"avg_response\": 27.438101175632347}, {\"stays_in_week_nights\": \"1\", \"support\": 30310, \"avg_response\": 26.37951171230617}, {\"stays_in_week_nights\": \"3\", \"support\": 22258, \"avg_response\": 26.828780663132356}, {\"stays_in_week_nights\": \"5\", \"support\": 11077, \"avg_response\": 28.085221630405343}, {\"stays_in_week_nights\": \"4\", \"support\": 9563, \"avg_response\": 27.85548468053958}, {\"stays_in_week_nights\": \"0\", \"support\": 7645, \"avg_response\": 27.40196206671027}, {\"stays_in_week_nights\": \"6\", \"support\": 1499, \"avg_response\": 28.438959306204136}, {\"stays_in_week_nights\": \"10\", \"support\": 1036, \"avg_response\": 28.26061776061776}, {\"stays_in_week_nights\": \"7\", \"support\": 1029, \"avg_response\": 28.39164237123421}, {\"stays_in_week_nights\": \"8\", \"support\": 656, \"avg_response\": 28.910060975609756}, {\"stays_in_week_nights\": \"9\", \"support\": 231, \"avg_response\": 29.463203463203463}, {\"stays_in_week_nights\": \"15\", \"support\": 85, \"avg_response\": 19.11764705882353}, {\"stays_in_week_nights\": \"11\", \"support\": 56, \"avg_response\": 29.696428571428573}, {\"stays_in_week_nights\": \"19\", \"support\": 44, \"avg_response\": 10.431818181818182}, {\"stays_in_week_nights\": \"12\", \"support\": 42, \"avg_response\": 26.19047619047619}, {\"stays_in_week_nights\": \"20\", \"support\": 41, \"avg_response\": 19.73170731707317}, {\"stays_in_week_nights\": \"14\", \"support\": 35, \"avg_response\": 16.742857142857144}, {\"stays_in_week_nights\": \"13\", \"support\": 27, \"avg_response\": 29.037037037037038}, {\"stays_in_week_nights\": \"16\", \"support\": 16, \"avg_response\": 23.375}, {\"stays_in_week_nights\": \"21\", \"support\": 15, \"avg_response\": 24.533333333333335}, {\"stays_in_week_nights\": \"22\", \"support\": 7, \"avg_response\": 3.142857142857143}, {\"stays_in_week_nights\": \"18\", \"support\": 6, \"avg_response\": 22.333333333333332}, {\"stays_in_week_nights\": \"25\", \"support\": 6, \"avg_response\": 17.333333333333332}, {\"stays_in_week_nights\": \"30\", \"support\": 5, \"avg_response\": 5.4}], \"row_count_returned\": 24, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 58.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e8055354a497809cf7a403bc8c674a2ca297c10d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:26.202922+00:00", + "ended_at": "2026-05-19T16:10:26.262827+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_534587b5ae6f5b15", + "problem_id": "v2p_m12_4235bc9063261521", + "dataset_id": "m12", + "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=arrival_date_week_number, key_col=stays_in_week_nights.", + "bindings": { + "key_col": "stays_in_week_nights", + "measure_col": "arrival_date_week_number", + "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=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/m12/sql/v2q_m12_534587b5ae6f5b15.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/m12/artifacts/v2q_m12_534587b5ae6f5b15/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_534587b5ae6f5b15/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/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..205348c12835532a05371bb31d12da5bda3f8b94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/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": "2026-05-19T16:08:37.237544+00:00", + "ended_at": "2026-05-19T16:08:40.493927+00:00", + "elapsed_ms": 3256.36, + "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_560b897e47e91f84/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..27c86640b7a396d1ec013a29562bb76724c2f168 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/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": "2026-05-19T16:08:41.495563+00:00", + "ended_at": "2026-05-19T16:08:44.663445+00:00", + "elapsed_ms": 3167.85, + "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_560b897e47e91f84/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..38916ba949f9a5442e92d45df4b148c18292999f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/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=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": 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 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_560b897e47e91f84/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..38916ba949f9a5442e92d45df4b148c18292999f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/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=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": 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 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_560b897e47e91f84/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a7df7dc4529ad27672c0351a9ed00b86a9bf446 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0d77-74e2-b258-9acdd5cb2e53"} +{"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_560b897e47e91f84/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a0f30b7fcd6e3b1d44e66eef69f3748bae00ed7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0d77-74e2-b258-9acdd5cb2e53"} +{"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_560b897e47e91f84/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f425f8c20708a8c86af27e68e54c40c2f2170f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1e07-7451-af20-b8b54c1d7466"} +{"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_560b897e47e91f84/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ce3646cc3c93a17ef6dd02ce6be82daea9dcd05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1e07-7451-af20-b8b54c1d7466"} +{"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_560b897e47e91f84/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/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_560b897e47e91f84/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_560b897e47e91f84/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_561795d9270b334c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..214df6ccbe16db0edb837966a871120ff0575759 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"agent": "9", "group_value": 75754.0}, {"agent": "240", "group_value": 41664.0}, {"agent": "", "group_value": 31678.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7a6ab70f33131925f11b6954045f0d447b715694 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/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: m12 +-- 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_m12_561795d9270b334c +-- problem_id: v2p_m12_b7d1f181fa18dad3 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "agent", SUM(CAST("stays_in_week_nights" AS REAL)) AS group_value + FROM "m12" + GROUP BY "agent" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."agent", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b88a60c34101804f49d721dc85bc65184dfc5396 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"agent\", \"group_value\"], \"rows\": [{\"agent\": \"9\", \"group_value\": 75754.0}, {\"agent\": \"240\", \"group_value\": 41664.0}, {\"agent\": \"\", \"group_value\": 31678.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 62.65}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b09f51aa909ebeb5f41b4161b66b7dfb7140b355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:49:36.307695+00:00", + "ended_at": "2026-05-19T15:49:49.669310+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_561795d9270b334c", + "problem_id": "v2p_m12_b7d1f181fa18dad3", + "dataset_id": "m12", + "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=agent, measure_col=stays_in_week_nights.", + "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 + }, + "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=4", + "sql_variant_index=2/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "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/m12/sql/v2q_m12_561795d9270b334c.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20ddbba3bbb893a0cd10df26c267005ef7633f73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:49.604758+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": 13287.98, "started_at": "2026-05-19T15:49:36.315630+00:00", "ended_at": "2026-05-19T15:49:49.603635+00:00", "prompt_metrics": {"chars": 17462, "bytes_utf8": 17462, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d2fe0df8e86e27a670fe7ad6fb72f06e92ab9e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_561795d9270b334c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_5784e263342447aa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a9f27ab6b4080557407f5f3eb59725383bdc2855 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17479, "bytes_utf8": 17479, "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": 743, "bytes_utf8": 743, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16801, "cached_input_tokens": 12032, "output_tokens": 396, "reasoning_output_tokens": 187}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ea3f3399998ead0bd83add368ee2694f45d4329c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/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_5784e263342447aa", + "api_calls": 0, + "input_tokens": 16801, + "cached_input_tokens": 12032, + "output_tokens": 396, + "total_tokens": 17197, + "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": 11568.37, + "sql_execution_elapsed_ms_total": 55.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/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_5784e263342447aa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..41f155a72665fce322e18786e5547b2df3e92dea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/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": "2026-05-19T15:48:52.013997+00:00", + "ended_at": "2026-05-19T15:49:03.582391+00:00", + "elapsed_ms": 11568.37, + "prompt_metrics": { + "chars": 17479, + "bytes_utf8": 17479, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1162, + "bytes_utf8": 1162, + "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": 743, + "bytes_utf8": 743, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16801, + "cached_input_tokens": 12032, + "output_tokens": 396, + "reasoning_output_tokens": 187 + } + }, + "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_5784e263342447aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..23de6fc751b6585da4381f40780b759f7796b466 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/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=deposit_type, measure_col=stays_in_weekend_nights.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "deposit_type", + "measure_col": "stays_in_weekend_nights", + "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": "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_5784e263342447aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2d9131dc9ea90b88655c93df6a048aac80f96d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-f7bf-7902-8c64-bca1481a61a5"} +{"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 \\\"deposit_type\\\",\\n SUM(CAST(\\\"stays_in_weekend_nights\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n GROUP BY \\\"deposit_type\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"deposit_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 group_col=\\\"deposit_type\\\" and measure_col=\\\"stays_in_weekend_nights\\\". The measure is CAST to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16801,"cached_input_tokens":12032,"output_tokens":396,"reasoning_output_tokens":187}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf52346d94f315a95cbfb23280d9d9d9ecee7ded --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"deposit_type\",\n SUM(CAST(\"stays_in_weekend_nights\" AS REAL)) AS \"group_value\"\n FROM \"m12\"\n GROUP BY \"deposit_type\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"deposit_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 group_col=\"deposit_type\" and measure_col=\"stays_in_weekend_nights\". The measure is CAST to REAL because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5784e263342447aa/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..05a03bca01b2fc8340f689edceeb647dc3055737 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=meal. +Result preview: [{"meal": "FB", "support": 798}, {"meal": "Undefined", "support": 1169}, {"meal": "SC", "support": 10650}, {"meal": "HB", "support": 14463}, {"meal": "BB", "support": 92310}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d0dc53aed9f27df1558eafb90555cf225f0f0a69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/generated_sql.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: m12 +-- 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_tail_low_support_group_count_v2 +-- query_record_id: v2q_m12_5b1429c168033481 +-- problem_id: v2p_m12_732d6465abe253c7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "meal", + COUNT(*) AS support +FROM "m12" +GROUP BY "meal" +ORDER BY support ASC, "meal" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84124b33f6dac60f462ac95b3a315363040c1910 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"meal\", \"support\"], \"rows\": [{\"meal\": \"FB\", \"support\": 798}, {\"meal\": \"Undefined\", \"support\": 1169}, {\"meal\": \"SC\", \"support\": 10650}, {\"meal\": \"HB\", \"support\": 14463}, {\"meal\": \"BB\", \"support\": 92310}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 78.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..13457028a37c58e8ac0ab8b91fed88af85467622 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:05:37.456427+00:00", + "ended_at": "2026-05-19T16:05:44.535666+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_5b1429c168033481", + "problem_id": "v2p_m12_732d6465abe253c7", + "dataset_id": "m12", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "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 Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=meal.", + "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 + }, + "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=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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/m12/sql/v2q_m12_5b1429c168033481.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b2b50389a7de8588317062fe71abdf03729f06ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:44.454874+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": 6988.98, "started_at": "2026-05-19T16:05:37.464520+00:00", "ended_at": "2026-05-19T16:05:44.453527+00:00", "prompt_metrics": {"chars": 16868, "bytes_utf8": 16868, "lines": 478, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e924d3b09b4489e23d53e07e69ecd71e9114cf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5b1429c168033481/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_5d232e6d2676ac9d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..075ebee61a85b986bd13fde1f1491518faf93919 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/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": "2026-05-19T16:05:53.496157+00:00", + "ended_at": "2026-05-19T16:05:56.968320+00:00", + "elapsed_ms": 3472.14, + "returncode": 1, + "prompt_metrics": { + "chars": 16890, + "bytes_utf8": 16890, + "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_5d232e6d2676ac9d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7e1b6c8b36411652324a1c4d2c19d50505e38c89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/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": "2026-05-19T16:05:57.970315+00:00", + "ended_at": "2026-05-19T16:06:01.330549+00:00", + "elapsed_ms": 3360.18, + "returncode": 1, + "prompt_metrics": { + "chars": 16890, + "bytes_utf8": 16890, + "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_5d232e6d2676ac9d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bc73f327e608bc51b7314259198a92953b858cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/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=market_segment.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "market_segment", + "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": 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_5d232e6d2676ac9d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bc73f327e608bc51b7314259198a92953b858cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/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=market_segment.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "market_segment", + "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": 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_5d232e6d2676ac9d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab44c7598705b19a1287c158452a9a9d9f619179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-8dc3-7790-85f2-cc841c72ea6b"} +{"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_5d232e6d2676ac9d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e8d0da9cb7a739a20716b2cecb7c493c395e2d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-8dc3-7790-85f2-cc841c72ea6b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea6d45dc15d4cfe9f35e8a92bf97ad0911954410 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-9f5e-79d2-94be-cc771c8ed63a"} +{"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_5d232e6d2676ac9d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/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_5d232e6d2676ac9d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d232e6d2676ac9d/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_5d28f1f53c313724/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..deb6ecfc977ba649b5f43eaa6f1cba307fb4cbec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16924, "bytes_utf8": 16924, "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": 444, "bytes_utf8": 444, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16659, "cached_input_tokens": 12032, "output_tokens": 426, "reasoning_output_tokens": 316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9164d9f797f0104c9cc654c75d9bcc9cd39fdb6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/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_5d28f1f53c313724", + "api_calls": 0, + "input_tokens": 16659, + "cached_input_tokens": 12032, + "output_tokens": 426, + "total_tokens": 17085, + "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": 12591.13, + "sql_execution_elapsed_ms_total": 90.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/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_5d28f1f53c313724/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..da2e44af94f3866295286b34231b653e0671122e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/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": "2026-05-19T15:29:09.884003+00:00", + "ended_at": "2026-05-19T15:29:22.475168+00:00", + "elapsed_ms": 12591.13, + "prompt_metrics": { + "chars": 16924, + "bytes_utf8": 16924, + "lines": 480, + "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": 444, + "bytes_utf8": 444, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16659, + "cached_input_tokens": 12032, + "output_tokens": 426, + "reasoning_output_tokens": 316 + } + }, + "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_5d28f1f53c313724/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b27daed345f04604fdb37864ab4cce7387cdc544 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/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=lead_time, measure_col=arrival_date_week_number.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "lead_time", + "measure_col": "arrival_date_week_number", + "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": 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": "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_5d28f1f53c313724/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1382ea893be0eb4baceeeb3e05318b9b3a64258a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-ee0c-7ee2-a7bb-d251311da55b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"lead_time\\\", SUM(CAST(\\\"arrival_date_week_number\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"lead_time\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"lead_time\\\" and measure_col=\\\"arrival_date_week_number\\\". Applied CAST to the measure because the schema snapshot shows this numeric field is stored as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16659,"cached_input_tokens":12032,"output_tokens":426,"reasoning_output_tokens":316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a88f6aff3afd5e5ca11e9336ec4c9d5f0b5d48c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"lead_time\", SUM(CAST(\"arrival_date_week_number\" AS NUMERIC)) AS total_measure\nFROM \"m12\"\nGROUP BY \"lead_time\"\nORDER BY total_measure DESC;","notes":"Used the provided Grouped Numeric Sum template with group_col=\"lead_time\" and measure_col=\"arrival_date_week_number\". Applied CAST to the measure because the schema snapshot shows this numeric field is 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_5d28f1f53c313724/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5d28f1f53c313724/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_5fd13437844dac28/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1715e0d4564a30636112c31e709bd44066f9edf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17152, "bytes_utf8": 17152, "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": 472, "bytes_utf8": 472, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16720, "cached_input_tokens": 12032, "output_tokens": 297, "reasoning_output_tokens": 178}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d6065360a9fbc14cca35932d5596fc529d85f2bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/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_5fd13437844dac28", + "api_calls": 0, + "input_tokens": 16720, + "cached_input_tokens": 12032, + "output_tokens": 297, + "total_tokens": 17017, + "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": 8328.0, + "sql_execution_elapsed_ms_total": 61.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/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_5fd13437844dac28/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d1282c9c1cb8afd544806839dbbc1324263fe92f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/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": "2026-05-19T16:01:30.285891+00:00", + "ended_at": "2026-05-19T16:01:38.613916+00:00", + "elapsed_ms": 8328.0, + "prompt_metrics": { + "chars": 17152, + "bytes_utf8": 17152, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 827, + "bytes_utf8": 827, + "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": 472, + "bytes_utf8": 472, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16720, + "cached_input_tokens": 12032, + "output_tokens": 297, + "reasoning_output_tokens": 178 + } + }, + "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_5fd13437844dac28/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf1a48ac4919fe8c8f0ded5c0c0bc52efb5c0f67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/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=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": "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": 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_5fd13437844dac28/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..05547f6013acb462650abfc0ff1eea6218382650 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-89d2-7290-a8cc-ccbe0533a2d1"} +{"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\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"assigned_room_type\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"assigned_room_type\\\" and condition_col=\\\"is_canceled\\\", treating the bound condition_value 0 as text because the SQLite schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16720,"cached_input_tokens":12032,"output_tokens":297,"reasoning_output_tokens":178}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d81112a6712d07f6e3554a72bbe1dbaee4fc1b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/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\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m12\"\nGROUP BY \"assigned_room_type\"\nORDER BY condition_rate DESC;","notes":"Uses the provided Grouped Condition Rate template with group_col=\"assigned_room_type\" and condition_col=\"is_canceled\", treating the bound condition_value 0 as text because the SQLite schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_5fd13437844dac28/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..983bb6d8f0d185201ba133456bbf481b337b8a16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/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=reserved_room_type, condition_col=arrival_date_year. +Result preview: [{"reserved_room_type": "B", "condition_ratio": 3.3267326732673266}, {"reserved_room_type": "A", "condition_ratio": 1.4776455218464217}, {"reserved_room_type": "H", "condition_ratio": 1.4366197183098592}, {"reserved_room_type": "F", "condition_ratio": 1.2957233848953593}, {"reserved_room_type": "D", "condition_ratio": 1.2405846721095601}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0906125a68375aa2a230f37cd591af1b32b0de2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/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: m12 +-- 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_m12_62c346aacbf8c4d6 +-- problem_id: v2p_m12_4c8fe530f12fcb18 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "reserved_room_type", + SUM(CASE WHEN "arrival_date_year" = '2016' THEN 1 ELSE 0 END) AS "numerator_count", + SUM(CASE WHEN "arrival_date_year" = '2017' THEN 1 ELSE 0 END) AS "denominator_count" + FROM "m12" + GROUP BY "reserved_room_type" +) +SELECT + "reserved_room_type", + 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/m12/artifacts/v2q_m12_62c346aacbf8c4d6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..61e0fe49247a61203a2c8a5a2b7001eb466eb31c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"reserved_room_type\", \"condition_ratio\"], \"rows\": [{\"reserved_room_type\": \"B\", \"condition_ratio\": 3.3267326732673266}, {\"reserved_room_type\": \"A\", \"condition_ratio\": 1.4776455218464217}, {\"reserved_room_type\": \"H\", \"condition_ratio\": 1.4366197183098592}, {\"reserved_room_type\": \"F\", \"condition_ratio\": 1.2957233848953593}, {\"reserved_room_type\": \"D\", \"condition_ratio\": 1.2405846721095601}, {\"reserved_room_type\": \"G\", \"condition_ratio\": 1.1911589008363201}, {\"reserved_room_type\": \"E\", \"condition_ratio\": 1.0666419844502035}, {\"reserved_room_type\": \"P\", \"condition_ratio\": 1.0}, {\"reserved_room_type\": \"C\", \"condition_ratio\": 0.5887265135699373}, {\"reserved_room_type\": \"L\", \"condition_ratio\": null}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 71.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..39b2510e7781ba9c4612ac75921d179f1ae14b6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:42:20.310715+00:00", + "ended_at": "2026-05-19T15:42:37.864166+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_62c346aacbf8c4d6", + "problem_id": "v2p_m12_4c8fe530f12fcb18", + "dataset_id": "m12", + "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=reserved_room_type, condition_col=arrival_date_year.", + "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 + }, + "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=9", + "sql_variant_index=1/1", + "binding_index=44" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 9, + "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/m12/sql/v2q_m12_62c346aacbf8c4d6.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4307031e1c3ae40c91b4e01d77206b9b1bc836c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:37.790282+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": 17469.58, "started_at": "2026-05-19T15:42:20.319700+00:00", "ended_at": "2026-05-19T15:42:37.789314+00:00", "prompt_metrics": {"chars": 17741, "bytes_utf8": 17741, "lines": 483, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..55a1b8a9add309159def1f7b2460d3da23730b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_62c346aacbf8c4d6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_676799dfb852b39a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d16e91db093de415f6762a92da024b8d6b76426a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"arrival_date_day_of_month": 31, "percentile_measure": 31}, {"arrival_date_day_of_month": 30, "percentile_measure": 30}, {"arrival_date_day_of_month": 29, "percentile_measure": 29}, {"arrival_date_day_of_month": 28, "percentile_measure": 28}, {"arrival_date_day_of_month": 27, "percentile_measure": 27}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..37864745c5364d9d2ad4ca7404a0f01018ffea4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/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: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m12_676799dfb852b39a +-- problem_id: v2p_m12_4dcb26e7d3366858 +-- realization_mode: agent +-- source_kind: agent +SELECT + CAST("arrival_date_day_of_month" AS INTEGER) AS "arrival_date_day_of_month", + MIN(CAST("arrival_date_day_of_month" AS INTEGER)) AS "percentile_measure" +FROM "m12" +WHERE "arrival_date_day_of_month" IS NOT NULL + AND TRIM("arrival_date_day_of_month") <> '' +GROUP BY "arrival_date_day_of_month" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64aef6616a9c83a800a44cf7fe6af71434687a1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"arrival_date_day_of_month\", \"percentile_measure\"], \"rows\": [{\"arrival_date_day_of_month\": 31, \"percentile_measure\": 31}, {\"arrival_date_day_of_month\": 30, \"percentile_measure\": 30}, {\"arrival_date_day_of_month\": 29, \"percentile_measure\": 29}, {\"arrival_date_day_of_month\": 28, \"percentile_measure\": 28}, {\"arrival_date_day_of_month\": 27, \"percentile_measure\": 27}, {\"arrival_date_day_of_month\": 26, \"percentile_measure\": 26}, {\"arrival_date_day_of_month\": 25, \"percentile_measure\": 25}, {\"arrival_date_day_of_month\": 24, \"percentile_measure\": 24}, {\"arrival_date_day_of_month\": 23, \"percentile_measure\": 23}, {\"arrival_date_day_of_month\": 22, \"percentile_measure\": 22}, {\"arrival_date_day_of_month\": 21, \"percentile_measure\": 21}, {\"arrival_date_day_of_month\": 20, \"percentile_measure\": 20}, {\"arrival_date_day_of_month\": 19, \"percentile_measure\": 19}, {\"arrival_date_day_of_month\": 18, \"percentile_measure\": 18}, {\"arrival_date_day_of_month\": 17, \"percentile_measure\": 17}, {\"arrival_date_day_of_month\": 16, \"percentile_measure\": 16}, {\"arrival_date_day_of_month\": 15, \"percentile_measure\": 15}, {\"arrival_date_day_of_month\": 14, \"percentile_measure\": 14}, {\"arrival_date_day_of_month\": 13, \"percentile_measure\": 13}, {\"arrival_date_day_of_month\": 12, \"percentile_measure\": 12}, {\"arrival_date_day_of_month\": 11, \"percentile_measure\": 11}, {\"arrival_date_day_of_month\": 10, \"percentile_measure\": 10}, {\"arrival_date_day_of_month\": 9, \"percentile_measure\": 9}, {\"arrival_date_day_of_month\": 8, \"percentile_measure\": 8}, {\"arrival_date_day_of_month\": 7, \"percentile_measure\": 7}, {\"arrival_date_day_of_month\": 6, \"percentile_measure\": 6}, {\"arrival_date_day_of_month\": 5, \"percentile_measure\": 5}, {\"arrival_date_day_of_month\": 4, \"percentile_measure\": 4}, {\"arrival_date_day_of_month\": 3, \"percentile_measure\": 3}, {\"arrival_date_day_of_month\": 2, \"percentile_measure\": 2}, {\"arrival_date_day_of_month\": 1, \"percentile_measure\": 1}], \"row_count_returned\": 31, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 89.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f77d4c948cea3abdb434f7eef76571857877bba4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:55:44.418738+00:00", + "ended_at": "2026-05-19T15:56:02.662889+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_676799dfb852b39a", + "problem_id": "v2p_m12_4dcb26e7d3366858", + "dataset_id": "m12", + "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=arrival_date_day_of_month, measure_col=arrival_date_day_of_month.", + "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 + }, + "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=2/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "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/m12/sql/v2q_m12_676799dfb852b39a.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a6a0b14e6e6d73f04ac0b118cfc942db389fda42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:47.165361+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": 2737.26, "started_at": "2026-05-19T15:55:44.427324+00:00", "ended_at": "2026-05-19T15:55:47.164612+00:00", "prompt_metrics": {"chars": 17138, "bytes_utf8": 17138, "lines": 480, "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\":\"019e40f3-42c6-7432-a74d-d9989411d8de\"}\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": "2026-05-19T15:56:02.571634+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": 14403.01, "started_at": "2026-05-19T15:55:48.167138+00:00", "ended_at": "2026-05-19T15:56:02.570203+00:00", "prompt_metrics": {"chars": 17138, "bytes_utf8": 17138, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e5d6edce86e1d53bacaa654c6926fe2dac149875 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_676799dfb852b39a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_69d5022ed4b3a9e7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfda10f0bebf59608316c6c5b9ed4890fc451dbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/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=arrival_date_month, measure_col=stays_in_weekend_nights. +Result preview: [{"arrival_date_month": "August", "total_measure": 14716}, {"arrival_date_month": "July", "total_measure": 14184}, {"arrival_date_month": "April", "total_measure": 10520}, {"arrival_date_month": "May", "total_measure": 10254}, {"arrival_date_month": "June", "total_measure": 10068}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ec1a4b7edc27190c3fadd70d55e922881d1f4a0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/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: m12 +-- 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_m12_69d5022ed4b3a9e7 +-- problem_id: v2p_m12_52583d915d89acb2 +-- realization_mode: agent +-- source_kind: agent +SELECT + "arrival_date_month", + SUM(CAST("stays_in_weekend_nights" AS INTEGER)) AS total_measure +FROM "m12" +GROUP BY "arrival_date_month" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca6718efe0cc929749057210e8e96fc1e0ac78f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/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\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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"arrival_date_month\", \"total_measure\"], \"rows\": [{\"arrival_date_month\": \"August\", \"total_measure\": 14716}, {\"arrival_date_month\": \"July\", \"total_measure\": 14184}, {\"arrival_date_month\": \"April\", \"total_measure\": 10520}, {\"arrival_date_month\": \"May\", \"total_measure\": 10254}, {\"arrival_date_month\": \"June\", \"total_measure\": 10068}, {\"arrival_date_month\": \"October\", \"total_measure\": 9992}, {\"arrival_date_month\": \"September\", \"total_measure\": 9899}, {\"arrival_date_month\": \"March\", \"total_measure\": 8410}, {\"arrival_date_month\": \"February\", \"total_measure\": 6883}, {\"arrival_date_month\": \"December\", \"total_measure\": 5865}, {\"arrival_date_month\": \"November\", \"total_measure\": 5334}, {\"arrival_date_month\": \"January\", \"total_measure\": 4621}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 64.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..655f850aadb9d9874af4ed1d35eb1cb4458f3039 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:29:44.159441+00:00", + "ended_at": "2026-05-19T15:29:58.267102+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_69d5022ed4b3a9e7", + "problem_id": "v2p_m12_52583d915d89acb2", + "dataset_id": "m12", + "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=arrival_date_month, measure_col=stays_in_weekend_nights.", + "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 + }, + "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=5", + "sql_variant_index=1/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/sql/v2q_m12_69d5022ed4b3a9e7.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..187dd9738cc5e4d0e5ad4b97fbd91bcb671ed494 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:58.200511+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": 14032.63, "started_at": "2026-05-19T15:29:44.166519+00:00", "ended_at": "2026-05-19T15:29:58.199182+00:00", "prompt_metrics": {"chars": 16937, "bytes_utf8": 16937, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8360a990bcf45383c8da185f0aa015e241649cbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_69d5022ed4b3a9e7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_6bd1caf36b9056e8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bb90f949e6d94c8ffb161a12ba33d6c063115b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/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=stays_in_weekend_nights, measure_col=adults. +Result preview: [{"stays_in_weekend_nights": "14", "reservation_status_date": "2016-09-09", "total_measure": 2.0, "share_within_group": 100.0}, {"stays_in_weekend_nights": "18", "reservation_status_date": "2015-09-30", "total_measure": 1.0, "share_within_group": 100.0}, {"stays_in_weekend_nights": "19", "reservation_status_date": "2016-09-12", "total_measure": 1.0, "share_within_group": 100.0}, {"stays_in_weekend_nights": "13", "reservation_status_date": "2015-10-23", "total_measure": 2.0, "share_within_group": 66.66666666666667}, {"stays_in_weekend_nights": "16", "reservation_status_date": "2016-10-31", "total_measure": 2.0, "share_within_group": 50.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ca4f3b5af443c860a85d1142a00521b5dc320784 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/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: m12 +-- 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_m12_6bd1caf36b9056e8 +-- problem_id: v2p_m12_c3832c4c11bad458 +-- realization_mode: agent +-- source_kind: agent +SELECT + "stays_in_weekend_nights", + "reservation_status_date", + SUM(CAST(NULLIF("adults", '') AS REAL)) AS total_measure, + 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 +FROM "m12" +GROUP BY "stays_in_weekend_nights", "reservation_status_date" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d94155174817d5ebf97fb8ae938938c261d8bca9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/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\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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"stays_in_weekend_nights\", \"reservation_status_date\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"stays_in_weekend_nights\": \"14\", \"reservation_status_date\": \"2016-09-09\", \"total_measure\": 2.0, \"share_within_group\": 100.0}, {\"stays_in_weekend_nights\": \"18\", \"reservation_status_date\": \"2015-09-30\", \"total_measure\": 1.0, \"share_within_group\": 100.0}, {\"stays_in_weekend_nights\": \"19\", \"reservation_status_date\": \"2016-09-12\", \"total_measure\": 1.0, \"share_within_group\": 100.0}, {\"stays_in_weekend_nights\": \"13\", \"reservation_status_date\": \"2015-10-23\", \"total_measure\": 2.0, \"share_within_group\": 66.66666666666667}, {\"stays_in_weekend_nights\": \"16\", \"reservation_status_date\": \"2016-10-31\", \"total_measure\": 2.0, \"share_within_group\": 50.0}, {\"stays_in_weekend_nights\": \"16\", \"reservation_status_date\": \"2017-03-07\", \"total_measure\": 2.0, \"share_within_group\": 50.0}, {\"stays_in_weekend_nights\": \"10\", \"reservation_status_date\": \"2016-09-16\", \"total_measure\": 5.0, \"share_within_group\": 38.46153846153846}, {\"stays_in_weekend_nights\": \"13\", \"reservation_status_date\": \"2017-03-20\", \"total_measure\": 1.0, \"share_within_group\": 33.333333333333336}, {\"stays_in_weekend_nights\": \"9\", \"reservation_status_date\": \"2015-11-30\", \"total_measure\": 4.0, \"share_within_group\": 26.666666666666668}, {\"stays_in_weekend_nights\": \"12\", \"reservation_status_date\": \"2015-12-04\", \"total_measure\": 2.0, \"share_within_group\": 20.0}, {\"stays_in_weekend_nights\": \"12\", \"reservation_status_date\": \"2016-03-08\", \"total_measure\": 2.0, \"share_within_group\": 20.0}, {\"stays_in_weekend_nights\": \"12\", \"reservation_status_date\": \"2017-03-31\", \"total_measure\": 2.0, \"share_within_group\": 20.0}, {\"stays_in_weekend_nights\": \"12\", \"reservation_status_date\": \"2017-04-09\", \"total_measure\": 2.0, \"share_within_group\": 20.0}, {\"stays_in_weekend_nights\": \"12\", \"reservation_status_date\": \"2017-04-12\", \"total_measure\": 2.0, \"share_within_group\": 20.0}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2015-10-10\", \"total_measure\": 5.0, \"share_within_group\": 17.857142857142858}, {\"stays_in_weekend_nights\": \"10\", \"reservation_status_date\": \"2017-02-10\", \"total_measure\": 2.0, \"share_within_group\": 15.384615384615385}, {\"stays_in_weekend_nights\": \"10\", \"reservation_status_date\": \"2017-02-18\", \"total_measure\": 2.0, \"share_within_group\": 15.384615384615385}, {\"stays_in_weekend_nights\": \"10\", \"reservation_status_date\": \"2017-02-28\", \"total_measure\": 2.0, \"share_within_group\": 15.384615384615385}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2015-11-17\", \"total_measure\": 4.0, \"share_within_group\": 14.285714285714286}, {\"stays_in_weekend_nights\": \"9\", \"reservation_status_date\": \"2016-02-22\", \"total_measure\": 2.0, \"share_within_group\": 13.333333333333334}, {\"stays_in_weekend_nights\": \"9\", \"reservation_status_date\": \"2016-04-19\", \"total_measure\": 2.0, \"share_within_group\": 13.333333333333334}, {\"stays_in_weekend_nights\": \"9\", \"reservation_status_date\": \"2016-12-18\", \"total_measure\": 2.0, \"share_within_group\": 13.333333333333334}, {\"stays_in_weekend_nights\": \"6\", \"reservation_status_date\": \"2016-12-07\", \"total_measure\": 32.0, \"share_within_group\": 11.469534050179211}, {\"stays_in_weekend_nights\": \"6\", \"reservation_status_date\": \"2015-11-03\", \"total_measure\": 30.0, \"share_within_group\": 10.75268817204301}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2016-01-15\", \"total_measure\": 3.0, \"share_within_group\": 10.714285714285714}, {\"stays_in_weekend_nights\": \"6\", \"reservation_status_date\": \"2017-03-26\", \"total_measure\": 27.0, \"share_within_group\": 9.67741935483871}, {\"stays_in_weekend_nights\": \"10\", \"reservation_status_date\": \"2016-02-11\", \"total_measure\": 1.0, \"share_within_group\": 7.6923076923076925}, {\"stays_in_weekend_nights\": \"10\", \"reservation_status_date\": \"2016-12-28\", \"total_measure\": 1.0, \"share_within_group\": 7.6923076923076925}, {\"stays_in_weekend_nights\": \"5\", \"reservation_status_date\": \"2016-05-24\", \"total_measure\": 9.0, \"share_within_group\": 7.5}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2015-09-28\", \"total_measure\": 2.0, \"share_within_group\": 7.142857142857143}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2016-01-20\", \"total_measure\": 2.0, \"share_within_group\": 7.142857142857143}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2016-02-05\", \"total_measure\": 2.0, \"share_within_group\": 7.142857142857143}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2016-02-25\", \"total_measure\": 2.0, \"share_within_group\": 7.142857142857143}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2016-05-17\", \"total_measure\": 2.0, \"share_within_group\": 7.142857142857143}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2016-07-04\", \"total_measure\": 2.0, \"share_within_group\": 7.142857142857143}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2016-07-25\", \"total_measure\": 2.0, \"share_within_group\": 7.142857142857143}, {\"stays_in_weekend_nights\": \"7\", \"reservation_status_date\": \"2016-11-22\", \"total_measure\": 2.0, \"share_within_group\": 7.142857142857143}, {\"stays_in_weekend_nights\": \"9\", \"reservation_status_date\": \"2015-11-25\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"stays_in_weekend_nights\": \"9\", \"reservation_status_date\": \"2016-01-26\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"stays_in_weekend_nights\": \"9\", \"reservation_status_date\": \"2016-10-19\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"stays_in_weekend_nights\": \"9\", \"reservation_status_date\": \"2016-10-20\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"stays_in_weekend_nights\": \"9\", \"reservation_status_date\": \"2017-07-31\", \"total_measure\": 1.0, \"share_within_group\": 6.666666666666667}, {\"stays_in_weekend_nights\": \"5\", \"reservation_status_date\": \"2015-10-10\", \"total_measure\": 7.0, \"share_within_group\": 5.833333333333333}, {\"stays_in_weekend_nights\": \"6\", \"reservation_status_date\": \"2017-02-10\", \"total_measure\": 12.0, \"share_within_group\": 4.301075268817204}, {\"stays_in_weekend_nights\": \"5\", \"reservation_status_date\": \"2015-11-17\", \"total_measure\": 5.0, \"share_within_group\": 4.166666666666667}, {\"stays_in_weekend_nights\": \"5\", \"reservation_status_date\": \"2016-05-02\", \"total_measure\": 5.0, \"share_within_group\": 4.166666666666667}, {\"stays_in_weekend_nights\": \"8\", \"reservation_status_date\": \"2016-07-19\", \"total_measure\": 4.0, \"share_within_group\": 3.9603960396039604}, {\"stays_in_weekend_nights\": \"8\", \"reservation_status_date\": \"2016-12-08\", \"total_measure\": 4.0, \"share_within_group\": 3.9603960396039604}, {\"stays_in_weekend_nights\": \"8\", \"reservation_status_date\": \"2017-04-05\", \"total_measure\": 4.0, \"share_within_group\": 3.9603960396039604}, {\"stays_in_weekend_nights\": \"6\", \"reservation_status_date\": \"2017-04-04\", \"total_measure\": 11.0, \"share_within_group\": 3.942652329749104}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 126.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6d73e70ab747d39e531b9fced145cebc8fc34a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:40:00.138908+00:00", + "ended_at": "2026-05-19T15:40:14.531511+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_6bd1caf36b9056e8", + "problem_id": "v2p_m12_c3832c4c11bad458", + "dataset_id": "m12", + "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=stays_in_weekend_nights, measure_col=adults.", + "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 + }, + "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=11", + "sql_variant_index=2/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "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/m12/sql/v2q_m12_6bd1caf36b9056e8.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bf54444131e1ef04f21e9d48d4bf7024ecaf7c26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:14.403001+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": 14254.05, "started_at": "2026-05-19T15:40:00.147574+00:00", "ended_at": "2026-05-19T15:40:14.401651+00:00", "prompt_metrics": {"chars": 17336, "bytes_utf8": 17336, "lines": 482, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b1900fb2870a7260d61070cd2a78fa3214c1cddc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6bd1caf36b9056e8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_6cc5f85dea38f172/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a1b54326e99e1b7c30a635dc0cb366e84a37bec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/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=is_canceled, measure_col=arrival_date_year. +Result preview: [{"is_canceled": "0", "total_measure": 151545744}, {"is_canceled": "1", "total_measure": 89163187}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c6c548d86435f249135fba5730eafafcc53c27da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/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: m12 +-- 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_m12_6cc5f85dea38f172 +-- problem_id: v2p_m12_fed068a130d1e681 +-- realization_mode: agent +-- source_kind: agent +SELECT "is_canceled", SUM(CAST("arrival_date_year" AS NUMERIC)) AS "total_measure" +FROM "m12" +GROUP BY "is_canceled" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c7c034b25179c0649fcf8fd9e51acf0fea298a39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/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 \"is_canceled\", SUM(CAST(\"arrival_date_year\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m12\"\nGROUP BY \"is_canceled\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"is_canceled\", \"total_measure\"], \"rows\": [{\"is_canceled\": \"0\", \"total_measure\": 151545744}, {\"is_canceled\": \"1\", \"total_measure\": 89163187}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 63.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a0fcebb05ce1e1ef35d35d905b35a1f0fa7f98dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:28:44.791579+00:00", + "ended_at": "2026-05-19T15:28:56.369852+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_6cc5f85dea38f172", + "problem_id": "v2p_m12_fed068a130d1e681", + "dataset_id": "m12", + "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=is_canceled, measure_col=arrival_date_year.", + "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 + }, + "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=2/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "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/m12/sql/v2q_m12_6cc5f85dea38f172.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..947f4b97815eca686a50cbe087578a561acdf2f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:56.304071+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": 11504.57, "started_at": "2026-05-19T15:28:44.798333+00:00", "ended_at": "2026-05-19T15:28:56.302926+00:00", "prompt_metrics": {"chars": 16917, "bytes_utf8": 16917, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ca968f3eb700bb9c3cf28065924ec600b8f8ebe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_6cc5f85dea38f172/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_70e3793a92badea3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..228442b8f43ace9c4550975ecf42e97ab98bd068 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/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=total_of_special_requests, measure_col=days_in_waiting_list. +Result preview: [{"total_of_special_requests": "4", "arrival_date_day_of_month": "13", "total_measure": 8.0, "share_within_group": 100.0}, {"total_of_special_requests": "3", "arrival_date_day_of_month": "23", "total_measure": 59.0, "share_within_group": 84.28571428571429}, {"total_of_special_requests": "2", "arrival_date_day_of_month": "14", "total_measure": 215.0, "share_within_group": 38.46153846153846}, {"total_of_special_requests": "2", "arrival_date_day_of_month": "20", "total_measure": 187.0, "share_within_group": 33.452593917710196}, {"total_of_special_requests": "2", "arrival_date_day_of_month": "9", "total_measure": 101.0, "share_within_group": 18.067978533094813}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9e086a145675b2e1d189c0f2151058829bc813d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/generated_sql.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: m12 +-- 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_m12_70e3793a92badea3 +-- problem_id: v2p_m12_8d96567f7958fe2b +-- realization_mode: agent +-- source_kind: agent +SELECT "total_of_special_requests", "arrival_date_day_of_month", + SUM(CAST(COALESCE(NULLIF("days_in_waiting_list", ''), '0') AS REAL)) AS total_measure, + SUM(CAST(COALESCE(NULLIF("days_in_waiting_list", ''), '0') AS REAL)) * 100.0 + / SUM(SUM(CAST(COALESCE(NULLIF("days_in_waiting_list", ''), '0') AS REAL))) OVER (PARTITION BY "total_of_special_requests") AS share_within_group +FROM "m12" +GROUP BY "total_of_special_requests", "arrival_date_day_of_month" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f744da040fd12e402b78d121abf6de8a2d759a46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/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 \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"total_of_special_requests\", \"arrival_date_day_of_month\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"total_of_special_requests\": \"4\", \"arrival_date_day_of_month\": \"13\", \"total_measure\": 8.0, \"share_within_group\": 100.0}, {\"total_of_special_requests\": \"3\", \"arrival_date_day_of_month\": \"23\", \"total_measure\": 59.0, \"share_within_group\": 84.28571428571429}, {\"total_of_special_requests\": \"2\", \"arrival_date_day_of_month\": \"14\", \"total_measure\": 215.0, \"share_within_group\": 38.46153846153846}, {\"total_of_special_requests\": \"2\", \"arrival_date_day_of_month\": \"20\", \"total_measure\": 187.0, \"share_within_group\": 33.452593917710196}, {\"total_of_special_requests\": \"2\", \"arrival_date_day_of_month\": \"9\", \"total_measure\": 101.0, \"share_within_group\": 18.067978533094813}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"11\", \"total_measure\": 3367.0, \"share_within_group\": 17.534631809186543}, {\"total_of_special_requests\": \"3\", \"arrival_date_day_of_month\": \"9\", \"total_measure\": 11.0, \"share_within_group\": 15.714285714285714}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"16\", \"total_measure\": 2494.0, \"share_within_group\": 12.98823039266743}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"22\", \"total_measure\": 1920.0, \"share_within_group\": 9.998958441828977}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"20\", \"total_measure\": 25663.0, \"share_within_group\": 9.974619387989101}, {\"total_of_special_requests\": \"2\", \"arrival_date_day_of_month\": \"15\", \"total_measure\": 50.0, \"share_within_group\": 8.94454382826476}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"22\", \"total_measure\": 16448.0, \"share_within_group\": 6.392960281091249}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"5\", \"total_measure\": 1185.0, \"share_within_group\": 6.171232163316321}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"17\", \"total_measure\": 1180.0, \"share_within_group\": 6.145193209040725}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"9\", \"total_measure\": 1139.0, \"share_within_group\": 5.931673783980835}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"30\", \"total_measure\": 15224.0, \"share_within_group\": 5.917219559784362}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"30\", \"total_measure\": 1129.0, \"share_within_group\": 5.879595875429643}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"26\", \"total_measure\": 13769.0, \"share_within_group\": 5.351694437642596}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"28\", \"total_measure\": 13349.0, \"share_within_group\": 5.188450072488272}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"28\", \"total_measure\": 986.0, \"share_within_group\": 5.134881783147589}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"7\", \"total_measure\": 905.0, \"share_within_group\": 4.713050723882929}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"7\", \"total_measure\": 11913.0, \"share_within_group\": 4.6303098144844395}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"12\", \"total_measure\": 883.0, \"share_within_group\": 4.598479325070305}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"25\", \"total_measure\": 11664.0, \"share_within_group\": 4.533529226571519}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"24\", \"total_measure\": 870.0, \"share_within_group\": 4.530778043953755}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"5\", \"total_measure\": 11606.0, \"share_within_group\": 4.510985957097827}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"13\", \"total_measure\": 11522.0, \"share_within_group\": 4.478337084066961}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"4\", \"total_measure\": 11433.0, \"share_within_group\": 4.4437448257366405}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"19\", \"total_measure\": 10282.0, \"share_within_group\": 3.9963775298018134}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"14\", \"total_measure\": 9216.0, \"share_within_group\": 3.582047783957743}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"18\", \"total_measure\": 8765.0, \"share_within_group\": 3.40675442994679}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"14\", \"total_measure\": 629.0, \"share_within_group\": 3.2757004478700136}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"21\", \"total_measure\": 8417.0, \"share_within_group\": 3.2714948131046357}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"9\", \"total_measure\": 8341.0, \"share_within_group\": 3.241955356552901}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"18\", \"total_measure\": 611.0, \"share_within_group\": 3.181960212477867}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"15\", \"total_measure\": 7649.0, \"share_within_group\": 2.972990831108157}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"23\", \"total_measure\": 6896.0, \"share_within_group\": 2.680317005010047}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"16\", \"total_measure\": 5734.0, \"share_within_group\": 2.228674261416417}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"1\", \"total_measure\": 5709.0, \"share_within_group\": 2.2189573349191356}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"12\", \"total_measure\": 5436.0, \"share_within_group\": 2.112848497568825}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"24\", \"total_measure\": 5100.0, \"share_within_group\": 1.9822530054453655}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"27\", \"total_measure\": 4737.0, \"share_within_group\": 1.8411632327048426}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"2\", \"total_measure\": 4636.0, \"share_within_group\": 1.8019068496558264}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"21\", \"total_measure\": 316.0, \"share_within_group\": 1.6456619102176857}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"17\", \"total_measure\": 4196.0, \"share_within_group\": 1.6308889433036773}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"8\", \"total_measure\": 4080.0, \"share_within_group\": 1.5858024043562924}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"27\", \"total_measure\": 301.0, \"share_within_group\": 1.5675450473908967}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"20\", \"total_measure\": 299.0, \"share_within_group\": 1.5571294656806582}, {\"total_of_special_requests\": \"0\", \"arrival_date_day_of_month\": \"29\", \"total_measure\": 3669.0, \"share_within_group\": 1.4260561327409895}, {\"total_of_special_requests\": \"1\", \"arrival_date_day_of_month\": \"8\", \"total_measure\": 272.0, \"share_within_group\": 1.4165191125924383}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 107.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eca94f80f241437486124b8fdf4299c6cecac7ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:34:59.912793+00:00", + "ended_at": "2026-05-19T15:35:14.482395+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_70e3793a92badea3", + "problem_id": "v2p_m12_8d96567f7958fe2b", + "dataset_id": "m12", + "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=total_of_special_requests, measure_col=days_in_waiting_list.", + "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 + }, + "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=2", + "sql_variant_index=1/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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/m12/sql/v2q_m12_70e3793a92badea3.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af04b9ef4cbf3422a0ba804b8df5370c3148e5df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:14.372910+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": 14450.52, "started_at": "2026-05-19T15:34:59.921561+00:00", "ended_at": "2026-05-19T15:35:14.372109+00:00", "prompt_metrics": {"chars": 17369, "bytes_utf8": 17369, "lines": 482, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3fb82609e49c1795ed925b9fa72ee72971c7353d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_70e3793a92badea3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_73af2ff87a5ac26b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..268c4f6148dfe671a85ce47274afa878640c1e99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"previous_cancellations": "26", "condition_rate": 1.0}, {"previous_cancellations": "25", "condition_rate": 1.0}, {"previous_cancellations": "24", "condition_rate": 1.0}, {"previous_cancellations": "21", "condition_rate": 1.0}, {"previous_cancellations": "19", "condition_rate": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..94bb0a73ba0f5942668a4d371f88b494a724e076 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/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: m12 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m12_73af2ff87a5ac26b +-- problem_id: v2p_m12_7e1f9954cea55652 +-- realization_mode: agent +-- source_kind: agent +SELECT "previous_cancellations", + AVG(CASE WHEN "reservation_status" = 'Canceled' THEN 1 ELSE 0 END) AS condition_rate +FROM "m12" +GROUP BY "previous_cancellations" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2af5836704e24c13545627fa8691bae4a48f3a7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"previous_cancellations\", \"condition_rate\"], \"rows\": [{\"previous_cancellations\": \"26\", \"condition_rate\": 1.0}, {\"previous_cancellations\": \"25\", \"condition_rate\": 1.0}, {\"previous_cancellations\": \"24\", \"condition_rate\": 1.0}, {\"previous_cancellations\": \"21\", \"condition_rate\": 1.0}, {\"previous_cancellations\": \"19\", \"condition_rate\": 1.0}, {\"previous_cancellations\": \"14\", \"condition_rate\": 1.0}, {\"previous_cancellations\": \"1\", \"condition_rate\": 0.9436456784002644}, {\"previous_cancellations\": \"13\", \"condition_rate\": 0.9166666666666666}, {\"previous_cancellations\": \"0\", \"condition_rate\": 0.32841478752236375}, {\"previous_cancellations\": \"2\", \"condition_rate\": 0.3275862068965517}, {\"previous_cancellations\": \"6\", \"condition_rate\": 0.3181818181818182}, {\"previous_cancellations\": \"3\", \"condition_rate\": 0.2923076923076923}, {\"previous_cancellations\": \"11\", \"condition_rate\": 0.2857142857142857}, {\"previous_cancellations\": \"4\", \"condition_rate\": 0.22580645161290322}, {\"previous_cancellations\": \"5\", \"condition_rate\": 0.10526315789473684}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 59.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..751114ebec34bbe36e317ba5d102194da4ac2770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:01:07.755605+00:00", + "ended_at": "2026-05-19T16:01:15.916057+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_73af2ff87a5ac26b", + "problem_id": "v2p_m12_7e1f9954cea55652", + "dataset_id": "m12", + "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=previous_cancellations, condition_col=reservation_status.", + "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 + }, + "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=2/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "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/m12/sql/v2q_m12_73af2ff87a5ac26b.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef7550eb39575e2df2f80f46e0a3d5c07fe24096 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:15.853982+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": 8087.68, "started_at": "2026-05-19T16:01:07.765396+00:00", "ended_at": "2026-05-19T16:01:15.853110+00:00", "prompt_metrics": {"chars": 17200, "bytes_utf8": 17200, "lines": 483, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7ed2153626f3a34f1595db931b5034f0af8fec40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_73af2ff87a5ac26b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_76416ebca2b8b850/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e668a5cb216d485fb9bcef0f3c98f44dc78a1a8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"arrival_date_year": "2015", "percentile_measure": 282.0}, {"arrival_date_year": "2016", "percentile_measure": 264.0}, {"arrival_date_year": "2017", "percentile_measure": 250.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bf3da658c9de186ba38fd48b71eef4f33e63c0ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/generated_sql.sql @@ -0,0 +1,57 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m12_76416ebca2b8b850 +-- problem_id: v2p_m12_b470496b249447f8 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "arrival_date_year", + CAST("lead_time" AS REAL) AS "lead_time_num", + ROW_NUMBER() OVER ( + PARTITION BY "arrival_date_year" + ORDER BY CAST("lead_time" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "arrival_date_year" + ) AS "cnt" + FROM "m12" + WHERE "arrival_date_year" IS NOT NULL + AND "arrival_date_year" <> '' + AND "lead_time" IS NOT NULL + AND "lead_time" <> '' +), +"params" AS ( + SELECT DISTINCT + "arrival_date_year", + ROUND((0.9 * ("cnt" - 1)) + 1.0, 10) AS "pos", + CAST(ROUND((0.9 * ("cnt" - 1)) + 1.0, 10) AS INTEGER) AS "lower_rn", + CAST(ROUND((0.9 * ("cnt" - 1)) + 1.0, 10) AS INTEGER) + + CASE + 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 + ELSE 1 + END AS "upper_rn" + FROM "ordered" + WHERE "cnt" >= 5 +) +SELECT + p."arrival_date_year", + CASE + WHEN p."lower_rn" = p."upper_rn" THEN l."lead_time_num" + ELSE l."lead_time_num" + ((p."pos" - p."lower_rn") * (u."lead_time_num" - l."lead_time_num")) + END AS "percentile_measure" +FROM "params" AS p +JOIN "ordered" AS l + ON l."arrival_date_year" = p."arrival_date_year" + AND l."rn" = p."lower_rn" +JOIN "ordered" AS u + ON u."arrival_date_year" = p."arrival_date_year" + AND u."rn" = p."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc3f8625bca8dcb9f3fc3a236291d334d270fd0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"arrival_date_year\", \"percentile_measure\"], \"rows\": [{\"arrival_date_year\": \"2015\", \"percentile_measure\": 282.0}, {\"arrival_date_year\": \"2016\", \"percentile_measure\": 264.0}, {\"arrival_date_year\": \"2017\", \"percentile_measure\": 250.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 758.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0fbe3b81ba5e134beb2caf0a84a638443637009f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:53:14.764912+00:00", + "ended_at": "2026-05-19T15:54:07.300344+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_76416ebca2b8b850", + "problem_id": "v2p_m12_b470496b249447f8", + "dataset_id": "m12", + "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=arrival_date_year, measure_col=lead_time.", + "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 + }, + "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=1", + "sql_variant_index=2/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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/m12/sql/v2q_m12_76416ebca2b8b850.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f1f4b97f966b4402b8fb807d11fc7447522eca6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:06.540213+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": 51764.97, "started_at": "2026-05-19T15:53:14.773704+00:00", "ended_at": "2026-05-19T15:54:06.538707+00:00", "prompt_metrics": {"chars": 17087, "bytes_utf8": 17087, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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 \\\""} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9c776bf310a2ea2858e67fa44e410d92513282f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_76416ebca2b8b850/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_7963bddbad404d7b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..03504a13511f077cd072c89b8b60c01b241097a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/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": 959, "bytes_utf8": 959, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16797, "cached_input_tokens": 15744, "output_tokens": 1074, "reasoning_output_tokens": 800}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..381e2dc81abe37c07b661440d102e70914f469c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/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_7963bddbad404d7b", + "api_calls": 0, + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 1074, + "total_tokens": 17871, + "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": 18152.97, + "sql_execution_elapsed_ms_total": 87.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/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_7963bddbad404d7b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..af0d709b470ebc0fcde5516df4bb57781a685db9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/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": "2026-05-19T15:49:49.677843+00:00", + "ended_at": "2026-05-19T15:50:07.830846+00:00", + "elapsed_ms": 18152.97, + "prompt_metrics": { + "chars": 17461, + "bytes_utf8": 17461, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1394, + "bytes_utf8": 1394, + "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": 959, + "bytes_utf8": 959, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16797, + "cached_input_tokens": 15744, + "output_tokens": 1074, + "reasoning_output_tokens": 800 + } + }, + "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_7963bddbad404d7b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f2604438c146dc83ca21eb00fc210b8945503fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/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=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": 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}, 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_7963bddbad404d7b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdc68a96dcfd1a94c1aaa25484b1ea22648c0549 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-d910-7200-922d-bbd416a700c6"} +{"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(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER) AS \\\"days_in_waiting_list\\\",\\n SUM(CAST(NULLIF(\\\"adults\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(\\\"days_in_waiting_list\\\", '') IS NOT NULL\\n AND NULLIF(\\\"adults\\\", '') IS NOT NULL\\n GROUP BY CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER)\\n),\\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\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with \\\"days_in_waiting_list\\\" as the group column and summed \\\"adults\\\" as the measure. Used NULLIF and CAST because the schema snapshot stores both fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16797,"cached_input_tokens":15744,"output_tokens":1074,"reasoning_output_tokens":800}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8ddec572b5c96050fd87cc1c8cadebc5813faa8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n CAST(NULLIF(\"days_in_waiting_list\", '') AS INTEGER) AS \"days_in_waiting_list\",\n SUM(CAST(NULLIF(\"adults\", '') AS REAL)) AS \"group_value\"\n FROM \"m12\"\n WHERE NULLIF(\"days_in_waiting_list\", '') IS NOT NULL\n AND NULLIF(\"adults\", '') IS NOT NULL\n GROUP BY CAST(NULLIF(\"days_in_waiting_list\", '') AS INTEGER)\n),\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\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with \"days_in_waiting_list\" as the group column and summed \"adults\" as the measure. Used NULLIF and CAST because the schema snapshot stores both 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_7963bddbad404d7b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7963bddbad404d7b/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_799b74584dcd5bd8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a3e467e5377f43763be7a706ceab8be27cc2e85f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17497, "bytes_utf8": 17497, "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": 983, "bytes_utf8": 983, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16799, "cached_input_tokens": 15744, "output_tokens": 980, "reasoning_output_tokens": 703}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..54178dd62c73ff30456f895527248bc3f2df8c94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/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_799b74584dcd5bd8", + "api_calls": 0, + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 980, + "total_tokens": 17779, + "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": 17432.09, + "sql_execution_elapsed_ms_total": 86.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/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_799b74584dcd5bd8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..68aae5464a219861dc11f6101ef2038630b6d589 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/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": "2026-05-19T15:51:13.165512+00:00", + "ended_at": "2026-05-19T15:51:30.597635+00:00", + "elapsed_ms": 17432.09, + "prompt_metrics": { + "chars": 17497, + "bytes_utf8": 17497, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1455, + "bytes_utf8": 1455, + "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": 983, + "bytes_utf8": 983, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16799, + "cached_input_tokens": 15744, + "output_tokens": 980, + "reasoning_output_tokens": 703 + } + }, + "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_799b74584dcd5bd8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddc39d94480cf64eb7a228af661f0788c46edc05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/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=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": 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": 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_799b74584dcd5bd8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a46a2efb645af90a87efc5c3f388cdb826667e54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-1f1e-7861-b756-bed819a426a1"} +{"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 \\\"required_car_parking_spaces\\\",\\n SUM(CAST(\\\"booking_changes\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"required_car_parking_spaces\\\" IS NOT NULL\\n AND \\\"required_car_parking_spaces\\\" <> ''\\n AND \\\"booking_changes\\\" IS NOT NULL\\n AND \\\"booking_changes\\\" <> ''\\n GROUP BY \\\"required_car_parking_spaces\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n \\\"g\\\".\\\"required_car_parking_spaces\\\",\\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=\\\"required_car_parking_spaces\\\" and measure_col=\\\"booking_changes\\\". Cast \\\"booking_changes\\\" to REAL and filtered null/empty strings because the schema stores fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16799,"cached_input_tokens":15744,"output_tokens":980,"reasoning_output_tokens":703}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..38d74bb06c96e0b21396230f3fa6f64558b5ea6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold.\nWITH \"grouped\" AS (\n SELECT\n \"required_car_parking_spaces\",\n SUM(CAST(\"booking_changes\" AS REAL)) AS \"group_value\"\n FROM \"m12\"\n WHERE \"required_car_parking_spaces\" IS NOT NULL\n AND \"required_car_parking_spaces\" <> ''\n AND \"booking_changes\" IS NOT NULL\n AND \"booking_changes\" <> ''\n GROUP BY \"required_car_parking_spaces\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n \"g\".\"required_car_parking_spaces\",\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=\"required_car_parking_spaces\" and measure_col=\"booking_changes\". Cast \"booking_changes\" to REAL and filtered null/empty strings because the schema stores 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_799b74584dcd5bd8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_799b74584dcd5bd8/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..aaeed2f08754bcdf8cba241ea5edf9161bc2c323 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/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=lead_time, group_col_2=stays_in_week_nights. +Result preview: [{"lead_time": "0", "stays_in_week_nights": "1", "row_count": 127}, {"lead_time": "259", "stays_in_week_nights": "3", "row_count": 90}, {"lead_time": "7", "stays_in_week_nights": "3", "row_count": 89}, {"lead_time": "169", "stays_in_week_nights": "3", "row_count": 81}, {"lead_time": "1", "stays_in_week_nights": "1", "row_count": 75}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9578a43d9fb4b9c8da90e3f1f81bea0f54bb3a7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/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: m12 +-- 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_m12_7b44ae5134a33318 +-- problem_id: v2p_m12_7459e35108029970 +-- realization_mode: agent +-- source_kind: agent +SELECT "lead_time", "stays_in_week_nights", COUNT(*) AS row_count +FROM "m12" +WHERE CAST(NULLIF("company", '') AS REAL) >= 223.0 +GROUP BY "lead_time", "stays_in_week_nights" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e1559a51c1c85a32ba0da1d83c3190ba68cb0bf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/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 \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"lead_time\", \"stays_in_week_nights\", \"row_count\"], \"rows\": [{\"lead_time\": \"0\", \"stays_in_week_nights\": \"1\", \"row_count\": 127}, {\"lead_time\": \"259\", \"stays_in_week_nights\": \"3\", \"row_count\": 90}, {\"lead_time\": \"7\", \"stays_in_week_nights\": \"3\", \"row_count\": 89}, {\"lead_time\": \"169\", \"stays_in_week_nights\": \"3\", \"row_count\": 81}, {\"lead_time\": \"1\", \"stays_in_week_nights\": \"1\", \"row_count\": 75}, {\"lead_time\": \"287\", \"stays_in_week_nights\": \"3\", \"row_count\": 74}, {\"lead_time\": \"364\", \"stays_in_week_nights\": \"4\", \"row_count\": 73}, {\"lead_time\": \"2\", \"stays_in_week_nights\": \"1\", \"row_count\": 65}, {\"lead_time\": \"152\", \"stays_in_week_nights\": \"4\", \"row_count\": 63}, {\"lead_time\": \"336\", \"stays_in_week_nights\": \"3\", \"row_count\": 63}, {\"lead_time\": \"215\", \"stays_in_week_nights\": \"1\", \"row_count\": 60}, {\"lead_time\": \"70\", \"stays_in_week_nights\": \"4\", \"row_count\": 54}, {\"lead_time\": \"0\", \"stays_in_week_nights\": \"0\", \"row_count\": 49}, {\"lead_time\": \"6\", \"stays_in_week_nights\": \"1\", \"row_count\": 39}, {\"lead_time\": \"203\", \"stays_in_week_nights\": \"3\", \"row_count\": 38}, {\"lead_time\": \"10\", \"stays_in_week_nights\": \"1\", \"row_count\": 37}, {\"lead_time\": \"225\", \"stays_in_week_nights\": \"3\", \"row_count\": 36}, {\"lead_time\": \"153\", \"stays_in_week_nights\": \"4\", \"row_count\": 33}, {\"lead_time\": \"3\", \"stays_in_week_nights\": \"1\", \"row_count\": 32}, {\"lead_time\": \"114\", \"stays_in_week_nights\": \"4\", \"row_count\": 31}, {\"lead_time\": \"112\", \"stays_in_week_nights\": \"2\", \"row_count\": 30}, {\"lead_time\": \"4\", \"stays_in_week_nights\": \"2\", \"row_count\": 30}, {\"lead_time\": \"4\", \"stays_in_week_nights\": \"1\", \"row_count\": 29}, {\"lead_time\": \"7\", \"stays_in_week_nights\": \"1\", \"row_count\": 29}, {\"lead_time\": \"11\", \"stays_in_week_nights\": \"0\", \"row_count\": 27}, {\"lead_time\": \"8\", \"stays_in_week_nights\": \"1\", \"row_count\": 27}, {\"lead_time\": \"1\", \"stays_in_week_nights\": \"2\", \"row_count\": 26}, {\"lead_time\": \"196\", \"stays_in_week_nights\": \"2\", \"row_count\": 26}, {\"lead_time\": \"3\", \"stays_in_week_nights\": \"0\", \"row_count\": 26}, {\"lead_time\": \"78\", \"stays_in_week_nights\": \"1\", \"row_count\": 25}, {\"lead_time\": \"215\", \"stays_in_week_nights\": \"2\", \"row_count\": 24}, {\"lead_time\": \"42\", \"stays_in_week_nights\": \"3\", \"row_count\": 23}, {\"lead_time\": \"73\", \"stays_in_week_nights\": \"2\", \"row_count\": 22}, {\"lead_time\": \"102\", \"stays_in_week_nights\": \"3\", \"row_count\": 21}, {\"lead_time\": \"6\", \"stays_in_week_nights\": \"2\", \"row_count\": 21}, {\"lead_time\": \"5\", \"stays_in_week_nights\": \"1\", \"row_count\": 20}, {\"lead_time\": \"65\", \"stays_in_week_nights\": \"2\", \"row_count\": 20}, {\"lead_time\": \"0\", \"stays_in_week_nights\": \"2\", \"row_count\": 19}, {\"lead_time\": \"25\", \"stays_in_week_nights\": \"1\", \"row_count\": 19}, {\"lead_time\": \"36\", \"stays_in_week_nights\": \"6\", \"row_count\": 19}, {\"lead_time\": \"7\", \"stays_in_week_nights\": \"4\", \"row_count\": 19}, {\"lead_time\": \"112\", \"stays_in_week_nights\": \"3\", \"row_count\": 18}, {\"lead_time\": \"223\", \"stays_in_week_nights\": \"5\", \"row_count\": 18}, {\"lead_time\": \"24\", \"stays_in_week_nights\": \"5\", \"row_count\": 17}, {\"lead_time\": \"15\", \"stays_in_week_nights\": \"6\", \"row_count\": 16}, {\"lead_time\": \"168\", \"stays_in_week_nights\": \"4\", \"row_count\": 16}, {\"lead_time\": \"17\", \"stays_in_week_nights\": \"3\", \"row_count\": 16}, {\"lead_time\": \"24\", \"stays_in_week_nights\": \"1\", \"row_count\": 16}, {\"lead_time\": \"24\", \"stays_in_week_nights\": \"10\", \"row_count\": 16}, {\"lead_time\": \"8\", \"stays_in_week_nights\": \"2\", \"row_count\": 16}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 31.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bbef8c7775e116eaf420c8eb92f552e67232ce08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:44:52.411818+00:00", + "ended_at": "2026-05-19T15:45:06.148171+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_7b44ae5134a33318", + "problem_id": "v2p_m12_7459e35108029970", + "dataset_id": "m12", + "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=lead_time, group_col_2=stays_in_week_nights.", + "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 + }, + "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=9", + "sql_variant_index=1/1", + "binding_index=56" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "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/m12/sql/v2q_m12_7b44ae5134a33318.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a062ffa0ee134ddf4a478db8c9b1f32cc7eb5fd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:06.114367+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": 13693.53, "started_at": "2026-05-19T15:44:52.419617+00:00", "ended_at": "2026-05-19T15:45:06.113177+00:00", "prompt_metrics": {"chars": 17225, "bytes_utf8": 17225, "lines": 484, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e8e0dc3ff9ab672389326e007a92ef2eebcd3286 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7b44ae5134a33318/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_7ceb8f3d7519c837/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce5ba095290a7ec2beb1d4c29ec13b3bf25e8f26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17191, "bytes_utf8": 17191, "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": 437, "bytes_utf8": 437, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16723, "cached_input_tokens": 12032, "output_tokens": 417, "reasoning_output_tokens": 305}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b6585d870703cc527dd76dbe82ed77c159526818 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/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_7ceb8f3d7519c837", + "api_calls": 0, + "input_tokens": 16723, + "cached_input_tokens": 12032, + "output_tokens": 417, + "total_tokens": 17140, + "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": 12567.78, + "sql_execution_elapsed_ms_total": 67.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/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_7ceb8f3d7519c837/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6919b6bc254a54ccf2ffdba6ce5724ae712fcafc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/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": "2026-05-19T16:03:33.017375+00:00", + "ended_at": "2026-05-19T16:03:45.585184+00:00", + "elapsed_ms": 12567.78, + "prompt_metrics": { + "chars": 17191, + "bytes_utf8": 17191, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 792, + "bytes_utf8": 792, + "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": 437, + "bytes_utf8": 437, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16723, + "cached_input_tokens": 12032, + "output_tokens": 417, + "reasoning_output_tokens": 305 + } + }, + "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_7ceb8f3d7519c837/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a2621ea20f1ebc9e781693b23255723d97b35ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/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=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": "Offline TA/TO", + "positive_value": "Offline TA/TO", + "negative_value": "Corporate", + "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},\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_7ceb8f3d7519c837/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..234462a5beba2df298f25235193250dcc4f826bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-6927-7d83-ad26-77d6982010fb"} +{"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\\\" = 'Offline TA/TO' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"customer_type\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped Condition Rate using customer_type as the grouping column and the proportion of rows where market_segment equals 'Offline TA/TO' within each customer_type group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16723,"cached_input_tokens":12032,"output_tokens":417,"reasoning_output_tokens":305}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..01a9f6065d567bb2f8e76f7a9e717ac0c5b0aa98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/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\" = 'Offline TA/TO' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m12\"\nGROUP BY \"customer_type\"\nORDER BY \"condition_rate\" DESC;","notes":"Grouped Condition Rate using customer_type as the grouping column and the proportion of rows where market_segment equals 'Offline TA/TO' within each customer_type group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ceb8f3d7519c837/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_7d1f5e1b9babd619/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..08141792437a052dc6ca7dbc7635405df9d9aeae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17483, "bytes_utf8": 17483, "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": 919, "bytes_utf8": 919, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16803, "cached_input_tokens": 15744, "output_tokens": 755, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d4c86daa61c82a7cee9492d634c54bcffe7906d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/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_7d1f5e1b9babd619", + "api_calls": 0, + "input_tokens": 16803, + "cached_input_tokens": 15744, + "output_tokens": 755, + "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": 14617.84, + "sql_execution_elapsed_ms_total": 75.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/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_7d1f5e1b9babd619/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b6c79492c4b33dd59522c1595616e2b2c63b0a9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/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": "2026-05-19T15:49:03.649848+00:00", + "ended_at": "2026-05-19T15:49:18.267711+00:00", + "elapsed_ms": 14617.84, + "prompt_metrics": { + "chars": 17483, + "bytes_utf8": 17483, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1306, + "bytes_utf8": 1306, + "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": 919, + "bytes_utf8": 919, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16803, + "cached_input_tokens": 15744, + "output_tokens": 755, + "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_7d1f5e1b9babd619/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf95473366c24b9e6f3687fcea0ed5b62aa7d95a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/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=deposit_type, measure_col=stays_in_weekend_nights.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "deposit_type", + "measure_col": "stays_in_weekend_nights", + "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": "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_7d1f5e1b9babd619/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b62dec854815cc28da7348d1d67f9d145c04604 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-253e-7453-93a4-9ef8777ba264"} +{"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 \\\"deposit_type\\\", SUM(CAST(\\\"stays_in_weekend_nights\\\" AS REAL)) AS group_value\\n FROM \\\"m12\\\"\\n WHERE \\\"deposit_type\\\" IS NOT NULL\\n AND \\\"deposit_type\\\" <> ''\\n AND \\\"stays_in_weekend_nights\\\" IS NOT NULL\\n AND \\\"stays_in_weekend_nights\\\" <> ''\\n GROUP BY \\\"deposit_type\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"deposit_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\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"deposit_type\\\" and measure_col=\\\"stays_in_weekend_nights\\\". Cast the measure from TEXT to REAL for SQLite aggregation and filtered out blank/null group or measure values to keep the grouped view stable.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16803,"cached_input_tokens":15744,"output_tokens":755,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0076e473169e73fbb1d45ee87c615deda9ead0eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"deposit_type\", SUM(CAST(\"stays_in_weekend_nights\" AS REAL)) AS group_value\n FROM \"m12\"\n WHERE \"deposit_type\" IS NOT NULL\n AND \"deposit_type\" <> ''\n AND \"stays_in_weekend_nights\" IS NOT NULL\n AND \"stays_in_weekend_nights\" <> ''\n GROUP BY \"deposit_type\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"deposit_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":"Used the planned Relative-to-Total Extreme Threshold template with group_col=\"deposit_type\" and measure_col=\"stays_in_weekend_nights\". Cast the measure from TEXT to REAL for SQLite aggregation and filtered out blank/null group or measure values to keep the grouped view stable."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d1f5e1b9babd619/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_7d2d609c4cae6593/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..09ded7567be12ab4845cf60c7d138b1c3729da39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16816, "bytes_utf8": 16816, "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": 16816, "bytes_utf8": 16816, "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": 479, "bytes_utf8": 479, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16642, "cached_input_tokens": 12032, "output_tokens": 778, "reasoning_output_tokens": 636}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ebaa1f588d84509de128f1e5bc0fd8486595c43c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/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_7d2d609c4cae6593", + "api_calls": 0, + "input_tokens": 16642, + "cached_input_tokens": 12032, + "output_tokens": 778, + "total_tokens": 17420, + "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": 18251.23, + "sql_execution_elapsed_ms_total": 43.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/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_7d2d609c4cae6593/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..93fd6c4656b85665a26db48ab4cad28a89ff3934 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/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": "2026-05-19T16:04:22.268544+00:00", + "ended_at": "2026-05-19T16:04:25.556541+00:00", + "elapsed_ms": 3287.97, + "returncode": 1, + "prompt_metrics": { + "chars": 16816, + "bytes_utf8": 16816, + "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_7d2d609c4cae6593/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2e04ed488b3eeb1b6529db76b7b92c807cde8ab6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/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": "2026-05-19T16:04:26.558333+00:00", + "ended_at": "2026-05-19T16:04:41.521632+00:00", + "elapsed_ms": 14963.26, + "prompt_metrics": { + "chars": 16816, + "bytes_utf8": 16816, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 835, + "bytes_utf8": 835, + "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": 479, + "bytes_utf8": 479, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16642, + "cached_input_tokens": 12032, + "output_tokens": 778, + "reasoning_output_tokens": 636 + } + }, + "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_7d2d609c4cae6593/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f887ff61025bebc4c6ba4819aabd21837a8bc5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/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=adr.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "adr", + "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": 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 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_7d2d609c4cae6593/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f887ff61025bebc4c6ba4819aabd21837a8bc5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/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=adr.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "adr", + "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": 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 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_7d2d609c4cae6593/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4f4f44fb79b7e495ba352c22fff9e8302d77719 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-298e-76d1-aade-4fb5a61d8643"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. 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Since \\\"adr\\\" is stored as TEXT in the schema snapshot, the query casts it to REAL and ignores blank values when computing the empirical CDF.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16642,"cached_input_tokens":12032,"output_tokens":778,"reasoning_output_tokens":636}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e916d149e2ebe95f3cc9a21ca7d3d7ad3418c4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7d2d609c4cae6593/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE\n WHEN NULLIF(TRIM(\"adr\"), '') IS NULL THEN NULL\n WHEN CAST(\"adr\" AS REAL) <= 161.1 THEN 1.0\n ELSE 0.0\nEND) AS \"empirical_cdf_at_threshold\"\nFROM \"m12\";","notes":"Uses the Threshold Rarity CDF template with measure_col=\"adr\" and measure_threshold=161.1. 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"user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 17117, "bytes_utf8": 17117, "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": 675, "bytes_utf8": 675, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16709, "cached_input_tokens": 15744, "output_tokens": 1241, "reasoning_output_tokens": 1065}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d717934690c6cd29caedb96c9ee6ea6c94b50c60 --- /dev/null +++ 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"/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/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_7ed5e5baa8364092/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6d4f2a4bf434252d1338471dc60dee46b5b37c6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/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": "2026-05-19T15:56:46.594095+00:00", + "ended_at": "2026-05-19T15:56:50.082361+00:00", + "elapsed_ms": 3488.24, + "returncode": 1, + "prompt_metrics": { + "chars": 17117, + "bytes_utf8": 17117, + "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_7ed5e5baa8364092/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b5bb52aa4ed342719f4fedb64609c3e2a93718a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/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": "2026-05-19T15:56:51.084867+00:00", + "ended_at": "2026-05-19T15:57:16.457079+00:00", + "elapsed_ms": 25372.16, + "prompt_metrics": { + "chars": 17117, + "bytes_utf8": 17117, + "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": 16709, + "cached_input_tokens": 15744, + "output_tokens": 1241, + "reasoning_output_tokens": 1065 + } + }, + "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_7ed5e5baa8364092/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e841cf360a11b9bd66656d36cd9e9b7aebbf199 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/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_week_nights, measure_col=stays_in_week_nights.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "stays_in_week_nights", + "measure_col": "stays_in_week_nights", + "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": 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_7ed5e5baa8364092/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e841cf360a11b9bd66656d36cd9e9b7aebbf199 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/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=stays_in_week_nights, measure_col=stays_in_week_nights.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "stays_in_week_nights", + "measure_col": "stays_in_week_nights", + "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": 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_7ed5e5baa8364092/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..424b04a1ba3b40def6d478475fc1eb0f806637f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-3594-7851-8844-95217fc98cb1"} +{"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_7ed5e5baa8364092/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f697ebabaf348691886a43a42e1a15e2e9fc2c3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-3594-7851-8844-95217fc98cb1"} +{"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_7ed5e5baa8364092/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd5830aeaa01e5b2d75de534db37a8b5d84caed7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-471a-78b2-bc43-76235b1e8ec6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n CAST(\\\"stays_in_week_nights\\\" AS INTEGER) AS \\\"stays_in_week_nights\\\",\\n CAST(\\\"stays_in_week_nights\\\" AS INTEGER) AS \\\"percentile_measure\\\"\\nFROM \\\"m12\\\"\\nWHERE NULLIF(\\\"stays_in_week_nights\\\", '') IS NOT NULL\\nGROUP BY \\\"stays_in_week_nights\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Here the bound group and measure columns are both \\\"stays_in_week_nights\\\", so every row within a group has the same measure value; therefore the 95th percentile within each group is that group's value itself. CAST is used because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16709,"cached_input_tokens":15744,"output_tokens":1241,"reasoning_output_tokens":1065}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b43877f52d11e3b8471fb298d0a08ef630d63468 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n CAST(\"stays_in_week_nights\" AS INTEGER) AS \"stays_in_week_nights\",\n CAST(\"stays_in_week_nights\" AS INTEGER) AS \"percentile_measure\"\nFROM \"m12\"\nWHERE NULLIF(\"stays_in_week_nights\", '') IS NOT NULL\nGROUP BY \"stays_in_week_nights\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT. Here the bound group and measure columns are both \"stays_in_week_nights\", so every row within a group has the same measure value; therefore the 95th percentile within each group is that group's value itself. CAST is used because the schema stores numeric 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_7ed5e5baa8364092/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/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_7ed5e5baa8364092/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_7ed5e5baa8364092/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_801193b78174c62c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8e8695213c851b7383ca60fab9e9d26186ec132 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=adults, measure_col=adults. +Result preview: [{"adults": 55.0, "percentile_measure": 55.0}, {"adults": 50.0, "percentile_measure": 50.0}, {"adults": 40.0, "percentile_measure": 40.0}, {"adults": 27.0, "percentile_measure": 27.0}, {"adults": 26.0, "percentile_measure": 26.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aa49ded02ba20da7c1a3f7c4cd17bd3995e0d56f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/generated_sql.sql @@ -0,0 +1,46 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m12_801193b78174c62c +-- problem_id: v2p_m12_c5ab2d15d6b7437a +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST("adults" AS REAL) AS "adults_group", + CAST("adults" AS REAL) AS "adults_measure", + ROW_NUMBER() OVER ( + PARTITION BY CAST("adults" AS REAL) + ORDER BY CAST("adults" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("adults" AS REAL) + ) AS "cnt" + FROM "m12" + WHERE NULLIF("adults", '') IS NOT NULL +), +"percentile_pick" AS ( + SELECT + "adults_group", + "adults_measure", + "rn", + "cnt", + CAST((0.95 * "cnt") + 0.999999999 AS INTEGER) AS "target_rn" + FROM "ranked" +) +SELECT + "adults_group" AS "adults", + "adults_measure" AS "percentile_measure" +FROM "percentile_pick" +WHERE "rn" = CASE + WHEN "target_rn" < 1 THEN 1 + WHEN "target_rn" > "cnt" THEN "cnt" + ELSE "target_rn" +END +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d66061389de98d42091dabf9f17ad9a1cab88f4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"adults\", \"percentile_measure\"], \"rows\": [{\"adults\": 55.0, \"percentile_measure\": 55.0}, {\"adults\": 50.0, \"percentile_measure\": 50.0}, {\"adults\": 40.0, \"percentile_measure\": 40.0}, {\"adults\": 27.0, \"percentile_measure\": 27.0}, {\"adults\": 26.0, \"percentile_measure\": 26.0}, {\"adults\": 20.0, \"percentile_measure\": 20.0}, {\"adults\": 10.0, \"percentile_measure\": 10.0}, {\"adults\": 6.0, \"percentile_measure\": 6.0}, {\"adults\": 5.0, \"percentile_measure\": 5.0}, {\"adults\": 4.0, \"percentile_measure\": 4.0}, {\"adults\": 3.0, \"percentile_measure\": 3.0}, {\"adults\": 2.0, \"percentile_measure\": 2.0}, {\"adults\": 1.0, \"percentile_measure\": 1.0}, {\"adults\": 0.0, \"percentile_measure\": 0.0}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 322.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9bb6e2e070158838bf96473e9aa6e44c07c00967 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:57:16.545150+00:00", + "ended_at": "2026-05-19T15:57:37.355181+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_801193b78174c62c", + "problem_id": "v2p_m12_c5ab2d15d6b7437a", + "dataset_id": "m12", + "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=adults, measure_col=adults.", + "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 + }, + "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=7", + "sql_variant_index=1/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "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/m12/sql/v2q_m12_801193b78174c62c.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5a570f2f3c9f50405902f304dec683afe1043126 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:20.530201+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": 3976.57, "started_at": "2026-05-19T15:57:16.552828+00:00", "ended_at": "2026-05-19T15:57:20.529428+00:00", "prompt_metrics": {"chars": 17058, "bytes_utf8": 17058, "lines": 480, "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-aa94-7e43-8101-307d500cae93\"}\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": "2026-05-19T15:57:37.030504+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": 15496.34, "started_at": "2026-05-19T15:57:21.532378+00:00", "ended_at": "2026-05-19T15:57:37.028772+00:00", "prompt_metrics": {"chars": 17058, "bytes_utf8": 17058, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..615db3a63f41548981f488b26dd3a6ff88a17791 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_801193b78174c62c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_833ad2c78734b055/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe8c97850954dea8174a0a0ee0c4d60953be3df2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17327, "bytes_utf8": 17327, "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": 749, "bytes_utf8": 749, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16775, "cached_input_tokens": 15744, "output_tokens": 1039, "reasoning_output_tokens": 824}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81fc6d9292dcd90d84ca00279309f9f19a28a9e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/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_833ad2c78734b055", + "api_calls": 0, + "input_tokens": 16775, + "cached_input_tokens": 15744, + "output_tokens": 1039, + "total_tokens": 17814, + "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": 20077.66, + "sql_execution_elapsed_ms_total": 122.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/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_833ad2c78734b055/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..feaf66e27202fa100f63721572be5c60a6e8f1f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/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": "2026-05-19T15:36:17.534082+00:00", + "ended_at": "2026-05-19T15:36:37.611779+00:00", + "elapsed_ms": 20077.66, + "prompt_metrics": { + "chars": 17327, + "bytes_utf8": 17327, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1143, + "bytes_utf8": 1143, + "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": 749, + "bytes_utf8": 749, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16775, + "cached_input_tokens": 15744, + "output_tokens": 1039, + "reasoning_output_tokens": 824 + } + }, + "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_833ad2c78734b055/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c67130611a9bdc9596d117bfb94a3a600be3977a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/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=hotel, measure_col=total_of_special_requests.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "hotel", + "measure_col": "total_of_special_requests", + "item_col": "country", + "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": 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_833ad2c78734b055/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0db9f1b00bbf4b16c7764e0dcf151a9e1e3ae6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-7493-7093-8eea-93d348f68d6d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"hotel\\\", \\\"country\\\",\\n SUM(CAST(COALESCE(NULLIF(\\\"total_of_special_requests\\\", ''), '0') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(COALESCE(NULLIF(\\\"total_of_special_requests\\\", ''), '0') AS REAL)) * 100.0\\n / NULLIF(SUM(SUM(CAST(COALESCE(NULLIF(\\\"total_of_special_requests\\\", ''), '0') AS REAL))) OVER (PARTITION BY \\\"hotel\\\"), 0) AS \\\"share_within_group\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"hotel\\\", \\\"country\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the requested within-group share template with \\\"hotel\\\" as the group, \\\"country\\\" as the item, and casts \\\"total_of_special_requests\\\" from TEXT to REAL in SQLite; empty measure values are treated as 0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16775,"cached_input_tokens":15744,"output_tokens":1039,"reasoning_output_tokens":824}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb648a38c968f8b69dec2e2e87fe4250f827cdb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"hotel\", \"country\",\n SUM(CAST(COALESCE(NULLIF(\"total_of_special_requests\", ''), '0') AS REAL)) AS \"total_measure\",\n SUM(CAST(COALESCE(NULLIF(\"total_of_special_requests\", ''), '0') AS REAL)) * 100.0\n / NULLIF(SUM(SUM(CAST(COALESCE(NULLIF(\"total_of_special_requests\", ''), '0') AS REAL))) OVER (PARTITION BY \"hotel\"), 0) AS \"share_within_group\"\nFROM \"m12\"\nGROUP BY \"hotel\", \"country\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the requested within-group share template with \"hotel\" as the group, \"country\" as the item, and casts \"total_of_special_requests\" from TEXT to REAL in SQLite; empty measure values are treated as 0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_833ad2c78734b055/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_83ac6e96b3ed24a7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..14d6ee8c014c87ade373fdc806fd19645867df2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17176, "bytes_utf8": 17176, "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": 487, "bytes_utf8": 487, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16721, "cached_input_tokens": 12032, "output_tokens": 344, "reasoning_output_tokens": 222}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7cc2fa9f5bd39faeb2bba166c0e9587fe511a581 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/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_83ac6e96b3ed24a7", + "api_calls": 0, + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 344, + "total_tokens": 17065, + "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": 10796.09, + "sql_execution_elapsed_ms_total": 81.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/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_83ac6e96b3ed24a7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..065443defad33d233b62e2b745cdb71a2154031d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/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": "2026-05-19T16:01:55.233703+00:00", + "ended_at": "2026-05-19T16:02:06.029824+00:00", + "elapsed_ms": 10796.09, + "prompt_metrics": { + "chars": 17176, + "bytes_utf8": 17176, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 850, + "bytes_utf8": 850, + "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": 487, + "bytes_utf8": 487, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16721, + "cached_input_tokens": 12032, + "output_tokens": 344, + "reasoning_output_tokens": 222 + } + }, + "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_83ac6e96b3ed24a7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b485c6d2722a0aaa337e44fc8762a9386f35ef2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/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=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": "2017", + "positive_value": "2016", + "negative_value": "2017", + "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": 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_83ac6e96b3ed24a7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..567074ba7d06348ee5304d56c22a112676fa49be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-eb37-7911-9647-f3f6c4d4b3b7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"booking_changes\\\",\\n AVG(CASE WHEN \\\"arrival_date_year\\\" = '2017' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"booking_changes\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"booking_changes\\\" and condition_col=\\\"arrival_date_year\\\", using condition_value '2017'. Compared as text because the SQLite schema stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16721,"cached_input_tokens":12032,"output_tokens":344,"reasoning_output_tokens":222}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..266a86e09706dd17b407c18ace4e7186fff12f63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"booking_changes\",\n AVG(CASE WHEN \"arrival_date_year\" = '2017' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m12\"\nGROUP BY \"booking_changes\"\nORDER BY \"condition_rate\" DESC;","notes":"Applied the Grouped Condition Rate template with group_col=\"booking_changes\" and condition_col=\"arrival_date_year\", using condition_value '2017'. Compared as text because the SQLite schema 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_83ac6e96b3ed24a7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_83ac6e96b3ed24a7/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_84c02fd074380018/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1424914cfcf4712fe8243c959a31f33da1997861 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=previous_cancellations. +Result preview: [{"previous_cancellations": "21", "support": 1}, {"previous_cancellations": "13", "support": 12}, {"previous_cancellations": "14", "support": 14}, {"previous_cancellations": "19", "support": 19}, {"previous_cancellations": "5", "support": 19}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..22e3aca68ad499fd146baf6e4eef91be466a1159 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/generated_sql.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: m12 +-- 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_tail_low_support_group_count_v2 +-- query_record_id: v2q_m12_84c02fd074380018 +-- problem_id: v2p_m12_82ebe68f1d7a30db +-- realization_mode: agent +-- source_kind: agent +SELECT + "previous_cancellations", + COUNT(*) AS "support" +FROM "m12" +GROUP BY "previous_cancellations" +ORDER BY "support" ASC, "previous_cancellations" +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fca1a24f417f52945956d7e725e0f489fddf0870 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"previous_cancellations\", \"support\"], \"rows\": [{\"previous_cancellations\": \"21\", \"support\": 1}, {\"previous_cancellations\": \"13\", \"support\": 12}, {\"previous_cancellations\": \"14\", \"support\": 14}, {\"previous_cancellations\": \"19\", \"support\": 19}, {\"previous_cancellations\": \"5\", \"support\": 19}, {\"previous_cancellations\": \"6\", \"support\": 22}, {\"previous_cancellations\": \"25\", \"support\": 25}, {\"previous_cancellations\": \"26\", \"support\": 26}, {\"previous_cancellations\": \"4\", \"support\": 31}, {\"previous_cancellations\": \"11\", \"support\": 35}, {\"previous_cancellations\": \"24\", \"support\": 48}, {\"previous_cancellations\": \"3\", \"support\": 65}, {\"previous_cancellations\": \"2\", \"support\": 116}, {\"previous_cancellations\": \"1\", \"support\": 6051}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 45.65}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c07f81967cc36dd000985bc34e8dde11371aaf3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:06:49.282603+00:00", + "ended_at": "2026-05-19T16:06:57.476977+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_84c02fd074380018", + "problem_id": "v2p_m12_82ebe68f1d7a30db", + "dataset_id": "m12", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "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 Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=previous_cancellations.", + "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 + }, + "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=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/sql/v2q_m12_84c02fd074380018.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f21f67a8d9d09bbe7cfbba037f380688b1acd8ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:06:57.429675+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": 8137.74, "started_at": "2026-05-19T16:06:49.291108+00:00", "ended_at": "2026-05-19T16:06:57.428872+00:00", "prompt_metrics": {"chars": 16906, "bytes_utf8": 16906, "lines": 478, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e29d4eee95bc5e53c839b2f2bde0fb057b5145d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_84c02fd074380018/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_86fd21f946d9e610/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f721089498a67bfa82651a8159400bb3aae2d8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17072, "bytes_utf8": 17072, "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": 580, "bytes_utf8": 580, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16708, "cached_input_tokens": 15744, "output_tokens": 427, "reasoning_output_tokens": 274}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..98dd65a97bdf3186685d39aa3cc7a3cf832b9c7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/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_86fd21f946d9e610", + "api_calls": 0, + "input_tokens": 16708, + "cached_input_tokens": 15744, + "output_tokens": 427, + "total_tokens": 17135, + "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": 17186.78, + "sql_execution_elapsed_ms_total": 167.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/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_86fd21f946d9e610/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a022cb335440c6ebf7f4fc6454ebaf221c9a3385 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/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": "2026-05-19T15:46:18.022467+00:00", + "ended_at": "2026-05-19T15:46:35.209289+00:00", + "elapsed_ms": 17186.78, + "prompt_metrics": { + "chars": 17072, + "bytes_utf8": 17072, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1630, + "bytes_utf8": 1630, + "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": 580, + "bytes_utf8": 580, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16708, + "cached_input_tokens": 15744, + "output_tokens": 427, + "reasoning_output_tokens": 274 + } + }, + "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_86fd21f946d9e610/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..728f9b05995a3561c605b8b6e2de6b23c0378766 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/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=booking_changes.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "booking_changes", + "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": "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_86fd21f946d9e610/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1a938e852dd923db286f85bc3a32bc8e50f777b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40ea-9e3b-7cd1-bba5-80fb6f8cafd6"} +{"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 1997426, Requested 17343. Please try again in 443ms. 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 1995593, Requested 17343. Please try again in 388ms. 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 CAST(\\\"booking_changes\\\" AS INTEGER) AS \\\"booking_changes\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"booking_changes\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n)\\nSELECT \\\"booking_changes\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"booking_changes\\\" DESC;\",\"notes\":\"Applied the planned Quantile Tail Slice template with measure_col bound to \\\"booking_changes\\\" and num_tiles=10. Cast \\\"booking_changes\\\" to INTEGER because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16708,"cached_input_tokens":15744,"output_tokens":427,"reasoning_output_tokens":274}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95b4480b70b83eca11caddc4d53263eff8b83324 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"booking_changes\" AS INTEGER) AS \"booking_changes\",\n NTILE(10) OVER (ORDER BY CAST(\"booking_changes\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"m12\"\n)\nSELECT \"booking_changes\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"booking_changes\" DESC;","notes":"Applied the planned Quantile Tail Slice template with measure_col bound to \"booking_changes\" and num_tiles=10. Cast \"booking_changes\" to INTEGER 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_86fd21f946d9e610/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_86fd21f946d9e610/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/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f8af7442ea5f19ddfd25d3c4ad8e62fd8afb8c61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:05:00.491570+00:00", + "ended_at": "2026-05-19T16:05:08.786071+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_87af480c428b49c5", + "problem_id": "v2p_m12_0c49574768a1dcaf", + "dataset_id": "m12", + "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=arrival_date_year.", + "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 + }, + "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=6", + "sql_variant_index=1/1", + "binding_index=113" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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", + "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/m12/artifacts/v2q_m12_87af480c428b49c5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56471d257dc066e6ba95ed7f5c699b8ce6f8d20f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_87af480c428b49c5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:04.475166+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": 3973.59, "started_at": "2026-05-19T16:05:00.500678+00:00", "ended_at": "2026-05-19T16:05:04.474300+00:00", "prompt_metrics": {"chars": 16844, "bytes_utf8": 16844, "lines": 478, "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\":\"019e40fb-bede-7780-9443-df8da7d6ec1e\"}\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": "2026-05-19T16:05:08.785942+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": 3308.43, "started_at": "2026-05-19T16:05:05.476768+00:00", "ended_at": "2026-05-19T16:05:08.785233+00:00", "prompt_metrics": {"chars": 16844, "bytes_utf8": 16844, "lines": 478, "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\":\"019e40fb-d252-7e40-8612-0d9759bb37dc\"}\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/m12/artifacts/v2q_m12_888d6f6420fb8669/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1bd04f9beca88d287d6e8ea04b9d3d0e6e3c995 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=days_in_waiting_list. +Result preview: [{"empirical_cdf_at_threshold": 0.9942876287796298}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..18991c89ca389061e457188db27aa24ab4967371 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m12 +-- 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_threshold_rarity_cdf +-- query_record_id: v2q_m12_888d6f6420fb8669 +-- problem_id: v2p_m12_298b21fb17161513 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("days_in_waiting_list" AS REAL) <= 101.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m12"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8759c2d621b9ff50a04f73cfae23c1c9b1152072 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/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_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\";", "result": "{\"query\": \"-- 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\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.9942876287796298}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 32.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2e7a556e0080f4b142e097f804429d1c1d65304c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:04:10.158904+00:00", + "ended_at": "2026-05-19T16:04:22.256332+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_888d6f6420fb8669", + "problem_id": "v2p_m12_298b21fb17161513", + "dataset_id": "m12", + "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=days_in_waiting_list.", + "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 + }, + "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=2", + "sql_variant_index=1/1", + "binding_index=109" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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/m12/sql/v2q_m12_888d6f6420fb8669.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..44d427333d161ffbebfe728f854de65ab54112b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:22.221083+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": 12053.71, "started_at": "2026-05-19T16:04:10.166078+00:00", "ended_at": "2026-05-19T16:04:22.219818+00:00", "prompt_metrics": {"chars": 16849, "bytes_utf8": 16849, "lines": 478, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d75009a5924be581b00e5a572a5b53cd1065e543 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_888d6f6420fb8669/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_892efa0e6adbf40d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..75006c82d61374e6175e7a38178d363d095c370a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16898, "bytes_utf8": 16898, "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": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16668, "cached_input_tokens": 15744, "output_tokens": 624, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ea7b8cf78b19fdb3709842af89542d496b5e9927 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/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_892efa0e6adbf40d", + "api_calls": 0, + "input_tokens": 16668, + "cached_input_tokens": 15744, + "output_tokens": 624, + "total_tokens": 17292, + "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": 14130.65, + "sql_execution_elapsed_ms_total": 68.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/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_892efa0e6adbf40d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1c511282ac09df7775aab8c943550f2a67fd1bc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/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": "2026-05-19T16:06:35.079080+00:00", + "ended_at": "2026-05-19T16:06:49.209756+00:00", + "elapsed_ms": 14130.65, + "prompt_metrics": { + "chars": 16898, + "bytes_utf8": 16898, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 728, + "bytes_utf8": 728, + "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": 16668, + "cached_input_tokens": 15744, + "output_tokens": 624, + "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_892efa0e6adbf40d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54c05c26aeb3cc61f34af558647c54143456f516 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/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=is_repeated_guest.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "is_repeated_guest", + "top_k": 18, + "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": 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\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_892efa0e6adbf40d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f420090c392ad7bc5d3c97e3978f429dc758684f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-3057-70f2-a995-137e6ee8e723"} +{"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 \\\"is_repeated_guest\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"is_repeated_guest\\\"\\nORDER BY \\\"support\\\" ASC, \\\"is_repeated_guest\\\"\\nLIMIT 18;\",\"notes\":\"Uses the Low-Support Group Count template with \\\"group_col\\\" bound to \\\"is_repeated_guest\\\" and \\\"top_k\\\" set to 18.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16668,"cached_input_tokens":15744,"output_tokens":624,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24013c17ddb4a396e12c628ebefeba11444b3d70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"is_repeated_guest\",\n COUNT(*) AS \"support\"\nFROM \"m12\"\nGROUP BY \"is_repeated_guest\"\nORDER BY \"support\" ASC, \"is_repeated_guest\"\nLIMIT 18;","notes":"Uses the Low-Support Group Count template with \"group_col\" bound to \"is_repeated_guest\" and \"top_k\" set to 18."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_892efa0e6adbf40d/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_89b54b95e4be4dd4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cc632a01e93a86d97034510e623c432d213bbe9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"arrival_date_day_of_month": "17", "total_rows": 4406, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_day_of_month": "5", "total_rows": 4317, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_day_of_month": "15", "total_rows": 4196, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_day_of_month": "25", "total_rows": 4160, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_day_of_month": "26", "total_rows": 4147, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a2332f8418baddca553fe53a303743f2b978a192 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/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: m12 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m12_89b54b95e4be4dd4 +-- problem_id: v2p_m12_01c80ab41e2c551d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "arrival_date_day_of_month", + COUNT(*) AS total_rows, + SUM(CASE WHEN "children" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "children" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m12" +GROUP BY "arrival_date_day_of_month" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ace203e0d5ab6565686d42f76d7e6c2fa1043fe6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/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: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m12_89b54b95e4be4dd4\n-- problem_id: v2p_m12_01c80ab41e2c551d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"arrival_date_day_of_month\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"children\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"children\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"arrival_date_day_of_month\"\nORDER BY missing_rate DESC, total_rows 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: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m12_89b54b95e4be4dd4\\n-- problem_id: v2p_m12_01c80ab41e2c551d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"arrival_date_day_of_month\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"children\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"children\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_day_of_month\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"arrival_date_day_of_month\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"arrival_date_day_of_month\": \"17\", \"total_rows\": 4406, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"5\", \"total_rows\": 4317, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"15\", \"total_rows\": 4196, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"25\", \"total_rows\": 4160, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"26\", \"total_rows\": 4147, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"9\", \"total_rows\": 4096, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"12\", \"total_rows\": 4087, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"16\", \"total_rows\": 4078, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"2\", \"total_rows\": 4055, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"19\", \"total_rows\": 4052, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"20\", \"total_rows\": 4032, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"18\", \"total_rows\": 4002, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"24\", \"total_rows\": 3993, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"28\", \"total_rows\": 3946, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"8\", \"total_rows\": 3921, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"3\", \"total_rows\": 3855, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"30\", \"total_rows\": 3853, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"6\", \"total_rows\": 3833, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"14\", \"total_rows\": 3819, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"27\", \"total_rows\": 3802, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"21\", \"total_rows\": 3767, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"4\", \"total_rows\": 3763, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"13\", \"total_rows\": 3745, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"7\", \"total_rows\": 3665, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"1\", \"total_rows\": 3626, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"23\", \"total_rows\": 3616, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"11\", \"total_rows\": 3599, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"22\", \"total_rows\": 3596, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"29\", \"total_rows\": 3580, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"10\", \"total_rows\": 3575, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_day_of_month\": \"31\", \"total_rows\": 2208, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 31, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 59.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..610e0f658b2cd423961d33ff83accc735d969c0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:23.534303+00:00", + "ended_at": "2026-05-19T16:10:23.594777+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_89b54b95e4be4dd4", + "problem_id": "v2p_m12_01c80ab41e2c551d", + "dataset_id": "m12", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=arrival_date_day_of_month, missing_col=children.", + "bindings": { + "missing_col": "children", + "group_col": "arrival_date_day_of_month" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "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/m12/sql/v2q_m12_89b54b95e4be4dd4.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/m12/artifacts/v2q_m12_89b54b95e4be4dd4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_89b54b95e4be4dd4/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/m12/artifacts/v2q_m12_8c4a64b413388df3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2a8baacb84dfaf67d9ddb470c1b34d6a8bbeb125 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:08:08.609851+00:00", + "ended_at": "2026-05-19T16:08:15.969388+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_8c4a64b413388df3", + "problem_id": "v2p_m12_1e888e0203d186f9", + "dataset_id": "m12", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "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 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.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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", + "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/m12/artifacts/v2q_m12_8c4a64b413388df3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0696cfad983095dc4acb2fedf5706b723fd0ae0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8c4a64b413388df3/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:11.733134+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": 3113.65, "started_at": "2026-05-19T16:08:08.618685+00:00", "ended_at": "2026-05-19T16:08:11.732357+00:00", "prompt_metrics": {"chars": 17007, "bytes_utf8": 17007, "lines": 480, "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\":\"019e40fe-9da2-7aa1-8dcc-ad9156d9875d\"}\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": "2026-05-19T16:08:15.969278+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": 3234.2, "started_at": "2026-05-19T16:08:12.734089+00:00", "ended_at": "2026-05-19T16:08:15.968326+00:00", "prompt_metrics": {"chars": 17007, "bytes_utf8": 17007, "lines": 480, "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\":\"019e40fe-adc5-7ea1-9050-21e7f5a675de\"}\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/m12/artifacts/v2q_m12_8e2c2d7582671a39/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..deed70bf012a3addd3f1a72187ba768e80c2ba8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"arrival_date_week_number": "53", "percentile_measure": 53.0}, {"arrival_date_week_number": "52", "percentile_measure": 52.0}, {"arrival_date_week_number": "51", "percentile_measure": 51.0}, {"arrival_date_week_number": "50", "percentile_measure": 50.0}, {"arrival_date_week_number": "49", "percentile_measure": 49.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cb199d8b8442e2ba8bf51e37f3e6212db2245d03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/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: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m12_8e2c2d7582671a39 +-- problem_id: v2p_m12_b0515f3925fd3b40 +-- realization_mode: agent +-- source_kind: agent +SELECT + "arrival_date_week_number", + MAX(CAST("arrival_date_week_number" AS REAL)) AS "percentile_measure" +FROM "m12" +GROUP BY "arrival_date_week_number" +HAVING COUNT(*) >= 5 +ORDER BY "percentile_measure" DESC +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cad83ff3c6b8f2dd61220dbd0dab8190b8cb2be8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"arrival_date_week_number\", \"percentile_measure\"], \"rows\": [{\"arrival_date_week_number\": \"53\", \"percentile_measure\": 53.0}, {\"arrival_date_week_number\": \"52\", \"percentile_measure\": 52.0}, {\"arrival_date_week_number\": \"51\", \"percentile_measure\": 51.0}, {\"arrival_date_week_number\": \"50\", \"percentile_measure\": 50.0}, {\"arrival_date_week_number\": \"49\", \"percentile_measure\": 49.0}, {\"arrival_date_week_number\": \"48\", \"percentile_measure\": 48.0}, {\"arrival_date_week_number\": \"47\", \"percentile_measure\": 47.0}, {\"arrival_date_week_number\": \"46\", \"percentile_measure\": 46.0}, {\"arrival_date_week_number\": \"45\", \"percentile_measure\": 45.0}, {\"arrival_date_week_number\": \"44\", \"percentile_measure\": 44.0}, {\"arrival_date_week_number\": \"43\", \"percentile_measure\": 43.0}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 60.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cd7b3a0212815d3dbd5a2b7b2ab3e4622ada09d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:55:01.325323+00:00", + "ended_at": "2026-05-19T15:55:16.350549+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_8e2c2d7582671a39", + "problem_id": "v2p_m12_b0515f3925fd3b40", + "dataset_id": "m12", + "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=arrival_date_week_number, measure_col=arrival_date_week_number.", + "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 + }, + "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=3", + "sql_variant_index=1/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "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/m12/sql/v2q_m12_8e2c2d7582671a39.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..60fbaf2e4a518fec0e62883057e02b44da4a4b11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:55:16.288746+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": 14953.88, "started_at": "2026-05-19T15:55:01.334141+00:00", "ended_at": "2026-05-19T15:55:16.288044+00:00", "prompt_metrics": {"chars": 17131, "bytes_utf8": 17131, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b20336e24913c1964f3159a81da7ebd362d07341 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e2c2d7582671a39/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_8e71c5e521c09946/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fdf390e01b06d47316257abb81038a0b50b8e206 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:08:54.470172+00:00", + "ended_at": "2026-05-19T16:09:03.759463+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_8e71c5e521c09946", + "problem_id": "v2p_m12_34b67c6e2c907faf", + "dataset_id": "m12", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "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 Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=hotel, measure_col=agent.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "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/m12/artifacts/v2q_m12_8e71c5e521c09946/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9e3c145cb4f303bebac7902e2b7ff1f6fb4a6942 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8e71c5e521c09946/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:59.693854+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": 5212.44, "started_at": "2026-05-19T16:08:54.480722+00:00", "ended_at": "2026-05-19T16:08:59.693181+00:00", "prompt_metrics": {"chars": 16964, "bytes_utf8": 16964, "lines": 480, "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-50d5-7bc2-ac8e-c39d993f4517\"}\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": "2026-05-19T16:09:03.759367+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": 3063.72, "started_at": "2026-05-19T16:09:00.694780+00:00", "ended_at": "2026-05-19T16:09:03.758524+00:00", "prompt_metrics": {"chars": 16964, "bytes_utf8": 16964, "lines": 480, "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-6907-72f0-8e5c-96cb16759254\"}\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/m12/artifacts/v2q_m12_8f181f561bd09f37/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..835fc5a711be3dfb1aa4e2d628748e9ed8a4d3a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/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=adults. +Result preview: [{"adults": 55}, {"adults": 50}, {"adults": 40}, {"adults": 27}, {"adults": 27}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..14fcd8210a5845d88906c1a8f90fadf2a4ba8c07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/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: m12 +-- 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_m12_8f181f561bd09f37 +-- problem_id: v2p_m12_cdad1816907cc629 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("adults" AS INTEGER) AS "adults", + NTILE(10) OVER (ORDER BY CAST("adults" AS INTEGER) DESC) AS "tail_bucket" + FROM "m12" + WHERE "adults" IS NOT NULL AND TRIM("adults") <> '' +) +SELECT "adults" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "adults" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5607eb3ed3957576279346e018341d8c18fd5275 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/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(\"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"adults\"], \"rows\": [{\"adults\": 55}, {\"adults\": 50}, {\"adults\": 40}, {\"adults\": 27}, {\"adults\": 27}, {\"adults\": 26}, {\"adults\": 26}, {\"adults\": 26}, {\"adults\": 26}, {\"adults\": 26}, {\"adults\": 20}, {\"adults\": 20}, {\"adults\": 10}, {\"adults\": 6}, {\"adults\": 5}, {\"adults\": 5}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}, {\"adults\": 4}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 165.52}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f02f949a57c643126f3a77561543dca91ee9e966 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:45:40.880041+00:00", + "ended_at": "2026-05-19T15:45:58.675349+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_8f181f561bd09f37", + "problem_id": "v2p_m12_cdad1816907cc629", + "dataset_id": "m12", + "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=adults.", + "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 + }, + "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=3", + "sql_variant_index=1/1", + "binding_index=62" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "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/m12/sql/v2q_m12_8f181f561bd09f37.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..52da1627247e9c5574c9bcbc8f935b2ce63fc381 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:58.507562+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": 17617.62, "started_at": "2026-05-19T15:45:40.889171+00:00", "ended_at": "2026-05-19T15:45:58.506816+00:00", "prompt_metrics": {"chars": 17054, "bytes_utf8": 17054, "lines": 478, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..251baeda098da8dffaeb5750a918040b5da95e33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_8f181f561bd09f37/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_9159147feb4a0fc0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eeb10a2c92b1e5d7bf3715e95d47f86ccd111966 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:08:30.057390+00:00", + "ended_at": "2026-05-19T16:08:37.228313+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_9159147feb4a0fc0", + "problem_id": "v2p_m12_746a56ab6ce7903d", + "dataset_id": "m12", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "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 Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=reservation_status, measure_col=booking_changes.", + "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 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "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;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "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/m12/artifacts/v2q_m12_9159147feb4a0fc0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e2fcb1b0a9960e0576afd0a44238b14c5aca198 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9159147feb4a0fc0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:33.389614+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": 3323.19, "started_at": "2026-05-19T16:08:30.065632+00:00", "ended_at": "2026-05-19T16:08:33.388852+00:00", "prompt_metrics": {"chars": 17007, "bytes_utf8": 17007, "lines": 480, "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\":\"019e40fe-f16a-72d3-b7d8-12dd888db612\"}\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": "2026-05-19T16:08:37.228231+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": 2836.89, "started_at": "2026-05-19T16:08:34.390594+00:00", "ended_at": "2026-05-19T16:08:37.227519+00:00", "prompt_metrics": {"chars": 17007, "bytes_utf8": 17007, "lines": 480, "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-0255-7563-bfd5-d4d3166fef63\"}\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/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2f51701cfa7355923e83df4b38976eb0db06220 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"arrival_date_year": "2016", "total_rows": 56707, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_year": "2017", "total_rows": 40687, "missing_rows": 0, "missing_rate": 0.0}, {"arrival_date_year": "2015", "total_rows": 21996, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed4f105f3d6e87157fbbe1266fc5fb355929a9ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/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: m12 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m12_92aa2e0ea2f9447a +-- problem_id: v2p_m12_3c8208075ef5b4d5 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "arrival_date_year", + COUNT(*) AS total_rows, + SUM(CASE WHEN "country" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "country" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m12" +GROUP BY "arrival_date_year" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..30b938ea2cd64209dcbc17c9b5d75605422ff82b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/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: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m12_92aa2e0ea2f9447a\n-- problem_id: v2p_m12_3c8208075ef5b4d5\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"arrival_date_year\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"country\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"country\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"arrival_date_year\"\nORDER BY missing_rate DESC, total_rows 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: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m12_92aa2e0ea2f9447a\\n-- problem_id: v2p_m12_3c8208075ef5b4d5\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"arrival_date_year\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"country\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"country\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_year\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"arrival_date_year\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"arrival_date_year\": \"2016\", \"total_rows\": 56707, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_year\": \"2017\", \"total_rows\": 40687, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"arrival_date_year\": \"2015\", \"total_rows\": 21996, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 53.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f80c504962b18eece927fbd9d71b42ccb8a06195 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:23.648544+00:00", + "ended_at": "2026-05-19T16:10:23.702537+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_92aa2e0ea2f9447a", + "problem_id": "v2p_m12_3c8208075ef5b4d5", + "dataset_id": "m12", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=arrival_date_year, missing_col=country.", + "bindings": { + "missing_col": "country", + "group_col": "arrival_date_year" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "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/m12/sql/v2q_m12_92aa2e0ea2f9447a.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/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92aa2e0ea2f9447a/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/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a5e840cbe478e200af8b383841ce0cc87c134614 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16810, "bytes_utf8": 16810, "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": 295, "bytes_utf8": 295, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16628, "cached_input_tokens": 12032, "output_tokens": 230, "reasoning_output_tokens": 156}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6168e6c677a1bd0da9a2fd86c82fa0358a0eaa11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/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_92e54c518b521bb8", + "api_calls": 0, + "input_tokens": 16628, + "cached_input_tokens": 12032, + "output_tokens": 230, + "total_tokens": 16858, + "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": 12946.45, + "sql_execution_elapsed_ms_total": 43.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/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_92e54c518b521bb8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cf7fcd659f631ddfba9ddd7464ec3f7f45e7eb72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/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": "2026-05-19T15:34:03.072235+00:00", + "ended_at": "2026-05-19T15:34:16.018708+00:00", + "elapsed_ms": 12946.45, + "prompt_metrics": { + "chars": 16810, + "bytes_utf8": 16810, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 981, + "bytes_utf8": 981, + "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": 295, + "bytes_utf8": 295, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16628, + "cached_input_tokens": 12032, + "output_tokens": 230, + "reasoning_output_tokens": 156 + } + }, + "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_92e54c518b521bb8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7376123203da1aa02b8fc6e0b07fc0359dfef609 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/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=booking_changes.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "booking_changes", + "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": 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_92e54c518b521bb8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f62ed0f404fcd65b147b00359e3fe980653ae993 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40df-675a-7bd0-91eb-cae0537126db"} +{"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 1983225, Requested 17263. Please try again in 14ms. 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 \\\"booking_changes\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"booking_changes\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count distribution for \\\"booking_changes\\\" using the required template and single-table schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16628,"cached_input_tokens":12032,"output_tokens":230,"reasoning_output_tokens":156}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ece5b82629692e78eba9626e17e417a1cb0869f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"booking_changes\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nGROUP BY \"booking_changes\"\nORDER BY \"row_count\" DESC;","notes":"Grouped count distribution for \"booking_changes\" using the required template and single-table schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_92e54c518b521bb8/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..13680ae12c7683ea7467380c318e2b6e5bffeabf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/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=is_canceled, measure_col=lead_time. +Result preview: [{"is_canceled": "1", "previous_bookings_not_canceled": "0", "total_measure": 6395963.0, "share_within_group": 99.84652956370437}, {"is_canceled": "0", "previous_bookings_not_canceled": "0", "total_measure": 5932865.0, "share_within_group": 98.68159848200196}, {"is_canceled": "0", "previous_bookings_not_canceled": "1", "total_measure": 50523.0, "share_within_group": 0.8403512299885781}, {"is_canceled": "0", "previous_bookings_not_canceled": "2", "total_measure": 9535.0, "share_within_group": 0.1585960647218315}, {"is_canceled": "0", "previous_bookings_not_canceled": "3", "total_measure": 4362.0, "share_within_group": 0.0725533334364582}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0818b16fe341ffae2cec037190cd93097b99b96a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/generated_sql.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: m12 +-- 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_m12_96e523796a209ada +-- problem_id: v2p_m12_de4b56cfef6678ff +-- realization_mode: agent +-- source_kind: agent +SELECT + "is_canceled", + "previous_bookings_not_canceled", + SUM(CAST(NULLIF("lead_time", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("lead_time", '') AS REAL)) * 100.0 / + SUM(SUM(CAST(NULLIF("lead_time", '') AS REAL))) OVER (PARTITION BY "is_canceled") AS share_within_group +FROM "m12" +GROUP BY "is_canceled", "previous_bookings_not_canceled" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..daf769a49af3acbe36be1a091f1abecd64703e34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/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\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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"is_canceled\", \"previous_bookings_not_canceled\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"0\", \"total_measure\": 6395963.0, \"share_within_group\": 99.84652956370437}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"0\", \"total_measure\": 5932865.0, \"share_within_group\": 98.68159848200196}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"1\", \"total_measure\": 50523.0, \"share_within_group\": 0.8403512299885781}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"2\", \"total_measure\": 9535.0, \"share_within_group\": 0.1585960647218315}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"3\", \"total_measure\": 4362.0, \"share_within_group\": 0.0725533334364582}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"1\", \"total_measure\": 4118.0, \"share_within_group\": 0.06428555148666973}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"4\", \"total_measure\": 3438.0, \"share_within_group\": 0.05718440173189897}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"5\", \"total_measure\": 1823.0, \"share_within_group\": 0.030322037334860913}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"6\", \"total_measure\": 1460.0, \"share_within_group\": 0.024284242736641214}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"25\", \"total_measure\": 1520.0, \"share_within_group\": 0.02372851827579844}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"4\", \"total_measure\": 1440.0, \"share_within_group\": 0.022479648892861682}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"8\", \"total_measure\": 1166.0, \"share_within_group\": 0.019394128103372366}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"7\", \"total_measure\": 1101.0, \"share_within_group\": 0.018312980310302724}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"9\", \"total_measure\": 991.0, \"share_within_group\": 0.01648334558356948}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"10\", \"total_measure\": 722.0, \"share_within_group\": 0.012009057024558189}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"11\", \"total_measure\": 651.0, \"share_within_group\": 0.010828110973666732}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"2\", \"total_measure\": 641.0, \"share_within_group\": 0.01000656593078079}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"10\", \"total_measure\": 490.0, \"share_within_group\": 0.007649324970487655}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"12\", \"total_measure\": 403.0, \"share_within_group\": 0.0067031163170317865}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"3\", \"total_measure\": 421.0, \"share_within_group\": 0.0065721751277047}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"13\", \"total_measure\": 391.0, \"share_within_group\": 0.006503519801388161}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"14\", \"total_measure\": 319.0, \"share_within_group\": 0.005305940707526402}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"15\", \"total_measure\": 318.0, \"share_within_group\": 0.005289307664556099}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"29\", \"total_measure\": 304.0, \"share_within_group\": 0.004745703655159688}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"17\", \"total_measure\": 278.0, \"share_within_group\": 0.0046239859457440115}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"16\", \"total_measure\": 244.0, \"share_within_group\": 0.004058462484753737}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"27\", \"total_measure\": 200.0, \"share_within_group\": 0.00332660859406044}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"21\", \"total_measure\": 185.0, \"share_within_group\": 0.003077112949505907}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"19\", \"total_measure\": 178.0, \"share_within_group\": 0.0029606816487137916}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"24\", \"total_measure\": 176.0, \"share_within_group\": 0.0029274155627731875}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"5\", \"total_measure\": 174.0, \"share_within_group\": 0.0027162909078874533}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"11\", \"total_measure\": 173.0, \"share_within_group\": 0.0027006800406007437}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"20\", \"total_measure\": 162.0, \"share_within_group\": 0.0026945529611889564}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"13\", \"total_measure\": 163.0, \"share_within_group\": 0.0025445713677336485}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"22\", \"total_measure\": 152.0, \"share_within_group\": 0.0025282225314859344}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"7\", \"total_measure\": 153.0, \"share_within_group\": 0.0023884626948665537}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"28\", \"total_measure\": 73.0, \"share_within_group\": 0.0012142121368320608}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"32\", \"total_measure\": 73.0, \"share_within_group\": 0.0012142121368320608}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"12\", \"total_measure\": 60.0, \"share_within_group\": 0.0009366520372025701}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"8\", \"total_measure\": 56.0, \"share_within_group\": 0.000874208568055732}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"18\", \"total_measure\": 47.0, \"share_within_group\": 0.0007817530196042034}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"6\", \"total_measure\": 45.0, \"share_within_group\": 0.0007024890279019276}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"23\", \"total_measure\": 34.0, \"share_within_group\": 0.0005655234609902748}, {\"is_canceled\": \"1\", \"previous_bookings_not_canceled\": \"14\", \"total_measure\": 33.0, \"share_within_group\": 0.0005151586204614135}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"25\", \"total_measure\": 30.0, \"share_within_group\": 0.0004989912891090661}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"65\", \"total_measure\": 20.0, \"share_within_group\": 0.000332660859406044}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"29\", \"total_measure\": 16.0, \"share_within_group\": 0.0002661286875248352}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"54\", \"total_measure\": 16.0, \"share_within_group\": 0.0002661286875248352}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"26\", \"total_measure\": 13.0, \"share_within_group\": 0.0002162295586139286}, {\"is_canceled\": \"0\", \"previous_bookings_not_canceled\": \"35\", \"total_measure\": 13.0, \"share_within_group\": 0.0002162295586139286}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 103.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..10b9fb384f0b53b8ffa957b01282a91eab6184c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:36:48.897674+00:00", + "ended_at": "2026-05-19T15:37:00.991808+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_96e523796a209ada", + "problem_id": "v2p_m12_de4b56cfef6678ff", + "dataset_id": "m12", + "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=is_canceled, measure_col=lead_time.", + "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 + }, + "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=5", + "sql_variant_index=2/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "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/m12/sql/v2q_m12_96e523796a209ada.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b8bd2e586ce30cda943088bbfcd795dbd64e125 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:00.885450+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": 11979.14, "started_at": "2026-05-19T15:36:48.905174+00:00", "ended_at": "2026-05-19T15:37:00.884352+00:00", "prompt_metrics": {"chars": 17325, "bytes_utf8": 17325, "lines": 482, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8644313284832107591ce45a5bed2035cd74f95b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_96e523796a209ada/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_9aa341d53f1a844d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..09a728f393a83c1b5caf194bdbfd36a97244e697 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/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": "2026-05-19T15:58:28.457942+00:00", + "ended_at": "2026-05-19T15:58:31.581394+00:00", + "elapsed_ms": 3123.43, + "returncode": 1, + "prompt_metrics": { + "chars": 17076, + "bytes_utf8": 17076, + "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_9aa341d53f1a844d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bb7c6dee1666240276f8c631df92deba0f1de71b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/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": "2026-05-19T15:58:32.583826+00:00", + "ended_at": "2026-05-19T15:58:35.919166+00:00", + "elapsed_ms": 3335.3, + "returncode": 1, + "prompt_metrics": { + "chars": 17076, + "bytes_utf8": 17076, + "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_9aa341d53f1a844d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a5dca70c24e52ad3e37305998c1f18b08486be2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/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=babies, measure_col=booking_changes.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "babies", + "measure_col": "booking_changes", + "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 {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_9aa341d53f1a844d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a5dca70c24e52ad3e37305998c1f18b08486be2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/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=babies, measure_col=booking_changes.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "babies", + "measure_col": "booking_changes", + "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 {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_9aa341d53f1a844d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..36722b58b21f19f1150e6780bb06901f6be93b61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-c355-7da3-b38a-411e0859980f"} +{"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_9aa341d53f1a844d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..036b8758751791d6c64bfb4a42f38d2b2317a27a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-c355-7da3-b38a-411e0859980f"} +{"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_9aa341d53f1a844d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..07d7979d610d494797ab23c0b0ba319b281f0f06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-d385-7920-ae69-db8568f5bdf7"} +{"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_9aa341d53f1a844d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..868d09a44f421b07a657abde4c18e0f88204e368 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-d385-7920-ae69-db8568f5bdf7"} +{"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_9aa341d53f1a844d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/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_9aa341d53f1a844d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aa341d53f1a844d/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_9aadba69f051ff73/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e47298004e7ff63741efc0c07bca32aa0cfb31c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16927, "bytes_utf8": 16927, "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": 479, "bytes_utf8": 479, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16663, "cached_input_tokens": 15744, "output_tokens": 522, "reasoning_output_tokens": 387}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..31e9b0af60c3b5085387766407520d496415d4f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/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_9aadba69f051ff73", + "api_calls": 0, + "input_tokens": 16663, + "cached_input_tokens": 15744, + "output_tokens": 522, + "total_tokens": 17185, + "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": 22568.63, + "sql_execution_elapsed_ms_total": 65.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/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_9aadba69f051ff73/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a01c1d8b6b2c4fbf755815053890c54e470cb133 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/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": "2026-05-19T15:31:52.087275+00:00", + "ended_at": "2026-05-19T15:32:14.655938+00:00", + "elapsed_ms": 22568.63, + "prompt_metrics": { + "chars": 16927, + "bytes_utf8": 16927, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1837, + "bytes_utf8": 1837, + "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": 479, + "bytes_utf8": 479, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16663, + "cached_input_tokens": 15744, + "output_tokens": 522, + "reasoning_output_tokens": 387 + } + }, + "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_9aadba69f051ff73/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..086c5bea05e6d1b6af7a587f75425dd7fe0ade1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/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_week_nights, measure_col=booking_changes.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "stays_in_week_nights", + "measure_col": "booking_changes", + "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}, 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_9aadba69f051ff73/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..75a3f45876bef886beac60c82674c759d6da82bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40dd-67b5-79f3-ab80-5c36c27569b9"} +{"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 1993874, Requested 17298. Please try again in 335ms. 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 17298. 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 1983048, Requested 17298. Please try again in 10ms. 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 \\\"stays_in_week_nights\\\",\\n SUM(CAST(COALESCE(NULLIF(\\\"booking_changes\\\", ''), '0') AS NUMERIC)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"stays_in_week_nights\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"stays_in_week_nights\\\" and measure_col=\\\"booking_changes\\\". Casts \\\"booking_changes\\\" from TEXT to NUMERIC and treats empty strings as 0 for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16663,"cached_input_tokens":15744,"output_tokens":522,"reasoning_output_tokens":387}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3a37f35ab0e7332579fbd0cb31f7385c290193f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"stays_in_week_nights\",\n SUM(CAST(COALESCE(NULLIF(\"booking_changes\", ''), '0') AS NUMERIC)) AS total_measure\nFROM \"m12\"\nGROUP BY \"stays_in_week_nights\"\nORDER BY total_measure DESC;","notes":"Uses the planned grouped-sum template with group_col=\"stays_in_week_nights\" and measure_col=\"booking_changes\". Casts \"booking_changes\" from TEXT to NUMERIC and treats empty strings 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_9aadba69f051ff73/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9aadba69f051ff73/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_9ab909f344a62e00/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bf9a65f3de2d05a28d632ceb0b1769758c1d7ade --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/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": "2026-05-19T16:01:00.172879+00:00", + "ended_at": "2026-05-19T16:01:03.298561+00:00", + "elapsed_ms": 3125.66, + "returncode": 1, + "prompt_metrics": { + "chars": 17194, + "bytes_utf8": 17194, + "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_9ab909f344a62e00/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3bf052a3ff91cbecaa39b296a53b6d3aa85e0c6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/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": "2026-05-19T16:01:04.301267+00:00", + "ended_at": "2026-05-19T16:01:07.754088+00:00", + "elapsed_ms": 3452.78, + "returncode": 1, + "prompt_metrics": { + "chars": 17194, + "bytes_utf8": 17194, + "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_9ab909f344a62e00/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..81570d7c2c1396b7ffff45945d30ffd902229263 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/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=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": "Check-Out", + "positive_value": "Check-Out", + "negative_value": "Canceled", + "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": "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_9ab909f344a62e00/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..81570d7c2c1396b7ffff45945d30ffd902229263 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/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 focused_target_view. 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": "Check-Out", + "positive_value": "Check-Out", + "negative_value": "Canceled", + "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": "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_9ab909f344a62e00/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..933c7fa978b0a5a77b5824b89a118bdb59d82e61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-1420-73f3-a243-3eaeb6e3744a"} +{"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_9ab909f344a62e00/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..105d51cc6fcf286b263111a9c4463b4be5989dee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-1420-73f3-a243-3eaeb6e3744a"} +{"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_9ab909f344a62e00/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..62e4497a38fde701f3c75da56979016ea460a898 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-242c-7d20-a567-eff2554b3b88"} +{"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_9ab909f344a62e00/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d64a5c8b61ebc23d3ce0ecae51d1b8d9e55fa889 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-242c-7d20-a567-eff2554b3b88"} +{"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_9ab909f344a62e00/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/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_9ab909f344a62e00/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9ab909f344a62e00/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_9c64eff461a303a8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8fe8feb7fb2f4393e04d794797b249be01178c98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17050, "bytes_utf8": 17050, "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": 593, "bytes_utf8": 593, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16706, "cached_input_tokens": 15744, "output_tokens": 691, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d42e0ed09be6aff2194db836d57447ad9c29e09b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/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_9c64eff461a303a8", + "api_calls": 0, + "input_tokens": 16706, + "cached_input_tokens": 15744, + "output_tokens": 691, + "total_tokens": 17397, + "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": 18421.3, + "sql_execution_elapsed_ms_total": 230.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/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_9c64eff461a303a8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b9b80fdd5d4cef0a12918a12c84bbcf2707a3b1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/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": "2026-05-19T15:47:27.429647+00:00", + "ended_at": "2026-05-19T15:47:45.851067+00:00", + "elapsed_ms": 18421.3, + "prompt_metrics": { + "chars": 17050, + "bytes_utf8": 17050, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 986, + "bytes_utf8": 986, + "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": 593, + "bytes_utf8": 593, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16706, + "cached_input_tokens": 15744, + "output_tokens": 691, + "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_9c64eff461a303a8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..96186d098317127dddd6c171aed1314304f592d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/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=adr.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "adr", + "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": 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": "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_9c64eff461a303a8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ee58f1eb1e2a313503fc7a4243048e8608761ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-adf4-75e1-9761-0b6920c42a97"} +{"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(\\\"adr\\\" AS REAL) AS \\\"adr\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"adr\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"adr\\\" IS NOT NULL AND \\\"adr\\\" <> ''\\n)\\nSELECT \\\"adr\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"adr\\\" DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with measure_col bound to \\\"adr\\\" and num_tiles=10. Cast \\\"adr\\\" to REAL because the schema stores it as TEXT, and excluded empty values so the tail bucket reflects numeric ADR values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16706,"cached_input_tokens":15744,"output_tokens":691,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..675ffbe4b6a75e942c5f81bb91d3f338a2148e2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"adr\" AS REAL) AS \"adr\",\n NTILE(10) OVER (ORDER BY CAST(\"adr\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m12\"\n WHERE \"adr\" IS NOT NULL AND \"adr\" <> ''\n)\nSELECT \"adr\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"adr\" DESC;","notes":"Used the planned Quantile Tail Slice template with measure_col bound to \"adr\" and num_tiles=10. Cast \"adr\" to REAL because the schema stores it as TEXT, and excluded empty values so the tail bucket reflects numeric ADR values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c64eff461a303a8/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_9c8982a53a5c765b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..de5888007be0fd4883cfa8c65dc76dbb5c94130e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 115692, "support_share": 0.9690258815646201, "cumulative_support": 115692}, {"value_label": "39", "support": 227, "support_share": 0.0019013317698299691, "cumulative_support": 115919}, {"value_label": "58", "support": 164, "support_share": 0.0013736493843705504, "cumulative_support": 116083}, {"value_label": "44", "support": 141, "support_share": 0.0011810034341234608, "cumulative_support": 116224}, {"value_label": "31", "support": 127, "support_share": 0.0010637406817991457, "cumulative_support": 116351}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b03717754ad58e753fcbeb748cf96add0bd2ec68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/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: m12 +-- 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_m12_9c8982a53a5c765b +-- problem_id: v2p_m12_1947b4b00841e77f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "days_in_waiting_list" AS value_label, COUNT(*) AS support + FROM "m12" + GROUP BY "days_in_waiting_list" +), 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/m12/artifacts/v2q_m12_9c8982a53a5c765b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6468bb554156c527945a58a9ae3b290a04b90afa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/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: m12\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m12_9c8982a53a5c765b\n-- problem_id: v2p_m12_1947b4b00841e77f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"days_in_waiting_list\" AS value_label, COUNT(*) AS support\n FROM \"m12\"\n GROUP BY \"days_in_waiting_list\"\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: m12\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m12_9c8982a53a5c765b\\n-- problem_id: v2p_m12_1947b4b00841e77f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"days_in_waiting_list\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m12\\\"\\n GROUP BY \\\"days_in_waiting_list\\\"\\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\": 115692, \"support_share\": 0.9690258815646201, \"cumulative_support\": 115692}, {\"value_label\": \"39\", \"support\": 227, \"support_share\": 0.0019013317698299691, \"cumulative_support\": 115919}, {\"value_label\": \"58\", \"support\": 164, \"support_share\": 0.0013736493843705504, \"cumulative_support\": 116083}, {\"value_label\": \"44\", \"support\": 141, \"support_share\": 0.0011810034341234608, \"cumulative_support\": 116224}, {\"value_label\": \"31\", \"support\": 127, \"support_share\": 0.0010637406817991457, \"cumulative_support\": 116351}, {\"value_label\": \"35\", \"support\": 96, \"support_share\": 0.0008040874445095904, \"cumulative_support\": 116447}, {\"value_label\": \"46\", \"support\": 94, \"support_share\": 0.0007873356227489739, \"cumulative_support\": 116541}, {\"value_label\": \"69\", \"support\": 89, \"support_share\": 0.0007454560683474328, \"cumulative_support\": 116630}, {\"value_label\": \"63\", \"support\": 83, \"support_share\": 0.0006952006030655833, \"cumulative_support\": 116713}, {\"value_label\": \"50\", \"support\": 80, \"support_share\": 0.0006700728704246586, \"cumulative_support\": 116793}, {\"value_label\": \"87\", \"support\": 80, \"support_share\": 0.0006700728704246586, \"cumulative_support\": 116873}, {\"value_label\": \"38\", \"support\": 76, \"support_share\": 0.0006365692269034258, \"cumulative_support\": 116949}, {\"value_label\": \"111\", \"support\": 71, \"support_share\": 0.0005946896725018846, \"cumulative_support\": 117020}, {\"value_label\": \"101\", \"support\": 65, \"support_share\": 0.0005444342072200352, \"cumulative_support\": 117085}, {\"value_label\": \"45\", \"support\": 65, \"support_share\": 0.0005444342072200352, \"cumulative_support\": 117150}, {\"value_label\": \"41\", \"support\": 63, \"support_share\": 0.0005276823854594187, \"cumulative_support\": 117213}, {\"value_label\": \"77\", \"support\": 63, \"support_share\": 0.0005276823854594187, \"cumulative_support\": 117276}, {\"value_label\": \"223\", \"support\": 61, \"support_share\": 0.0005109305636988022, \"cumulative_support\": 117337}, {\"value_label\": \"62\", \"support\": 60, \"support_share\": 0.000502554652818494, \"cumulative_support\": 117397}, {\"value_label\": \"3\", \"support\": 59, \"support_share\": 0.0004941787419381858, \"cumulative_support\": 117456}, {\"value_label\": \"98\", \"support\": 59, \"support_share\": 0.0004941787419381858, \"cumulative_support\": 117515}, {\"value_label\": \"22\", \"support\": 56, \"support_share\": 0.0004690510092972611, \"cumulative_support\": 117571}, {\"value_label\": \"122\", \"support\": 55, \"support_share\": 0.0004606750984169528, \"cumulative_support\": 117626}, {\"value_label\": \"15\", \"support\": 54, \"support_share\": 0.0004522991875366446, \"cumulative_support\": 117680}, {\"value_label\": \"48\", \"support\": 52, \"support_share\": 0.00043554736577602817, \"cumulative_support\": 117732}, {\"value_label\": \"176\", \"support\": 50, \"support_share\": 0.0004187955440154117, \"cumulative_support\": 117782}, {\"value_label\": \"28\", \"support\": 50, \"support_share\": 0.0004187955440154117, \"cumulative_support\": 117832}, {\"value_label\": \"91\", \"support\": 50, \"support_share\": 0.0004187955440154117, \"cumulative_support\": 117882}, {\"value_label\": \"17\", \"support\": 47, \"support_share\": 0.00039366781137448696, \"cumulative_support\": 117929}, {\"value_label\": \"96\", \"support\": 46, \"support_share\": 0.00038529190049417874, \"cumulative_support\": 117975}, {\"value_label\": \"187\", \"support\": 45, \"support_share\": 0.0003769159896138705, \"cumulative_support\": 118020}, {\"value_label\": \"391\", \"support\": 45, \"support_share\": 0.0003769159896138705, \"cumulative_support\": 118065}, {\"value_label\": \"56\", \"support\": 45, \"support_share\": 0.0003769159896138705, \"cumulative_support\": 118110}, {\"value_label\": \"68\", \"support\": 42, \"support_share\": 0.0003517882569729458, \"cumulative_support\": 118152}, {\"value_label\": \"60\", \"support\": 41, \"support_share\": 0.0003434123460926376, \"cumulative_support\": 118193}, {\"value_label\": \"75\", \"support\": 40, \"support_share\": 0.0003350364352123293, \"cumulative_support\": 118233}, {\"value_label\": \"93\", \"support\": 40, \"support_share\": 0.0003350364352123293, \"cumulative_support\": 118273}, {\"value_label\": \"21\", \"support\": 37, \"support_share\": 0.00030990870257140466, \"cumulative_support\": 118310}, {\"value_label\": \"236\", \"support\": 35, \"support_share\": 0.00029315688081078817, \"cumulative_support\": 118345}, {\"value_label\": \"65\", \"support\": 35, \"support_share\": 0.00029315688081078817, \"cumulative_support\": 118380}, {\"value_label\": \"147\", \"support\": 30, \"support_share\": 0.000251277326409247, \"cumulative_support\": 118410}, {\"value_label\": \"162\", \"support\": 30, \"support_share\": 0.000251277326409247, \"cumulative_support\": 118440}, {\"value_label\": \"178\", \"support\": 30, \"support_share\": 0.000251277326409247, \"cumulative_support\": 118470}, {\"value_label\": \"19\", \"support\": 30, \"support_share\": 0.000251277326409247, \"cumulative_support\": 118500}, {\"value_label\": \"33\", \"support\": 30, \"support_share\": 0.000251277326409247, \"cumulative_support\": 118530}, {\"value_label\": \"42\", \"support\": 30, \"support_share\": 0.000251277326409247, \"cumulative_support\": 118560}, {\"value_label\": \"20\", \"support\": 29, \"support_share\": 0.00024290141552893877, \"cumulative_support\": 118589}, {\"value_label\": \"10\", \"support\": 28, \"support_share\": 0.00023452550464863055, \"cumulative_support\": 118617}, {\"value_label\": \"40\", \"support\": 28, \"support_share\": 0.00023452550464863055, \"cumulative_support\": 118645}, {\"value_label\": \"27\", \"support\": 26, \"support_share\": 0.00021777368288801408, \"cumulative_support\": 118671}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 44.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5c7b8cf70b5aec2c29d58eb7fcd10d6157558a7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:25.351214+00:00", + "ended_at": "2026-05-19T16:10:25.396834+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_9c8982a53a5c765b", + "problem_id": "v2p_m12_1947b4b00841e77f", + "dataset_id": "m12", + "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": "support_concentration", + "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=days_in_waiting_list.", + "bindings": { + "group_col": "days_in_waiting_list" + }, + "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=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/m12/sql/v2q_m12_9c8982a53a5c765b.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/m12/artifacts/v2q_m12_9c8982a53a5c765b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9c8982a53a5c765b/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/m12/artifacts/v2q_m12_9d20579fd8922599/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c1287d6166b86d2718bd90696d54cf3e4cd7f53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/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=reservation_status, measure_col=adr. +Result preview: [{"reservation_status": "No-Show", "stays_in_week_nights": "1", "total_measure": 37436.14, "share_within_group": 32.18131709430511}, {"reservation_status": "Canceled", "stays_in_week_nights": "2", "total_measure": 1451160.76, "share_within_group": 32.06550098362678}, {"reservation_status": "Check-Out", "stays_in_week_nights": "1", "total_measure": 1964191.93, "share_within_group": 26.13460465353043}, {"reservation_status": "Check-Out", "stays_in_week_nights": "2", "total_measure": 1927719.93, "share_within_group": 25.649325548996305}, {"reservation_status": "No-Show", "stays_in_week_nights": "2", "total_measure": 25498.49, "share_within_group": 21.919326942253335}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..652a15441e21dab46226c5392970cfc24c616744 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/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: m12 +-- 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_m12_9d20579fd8922599 +-- problem_id: v2p_m12_7be0f9add1874ac0 +-- realization_mode: agent +-- source_kind: agent +SELECT + "reservation_status", + "stays_in_week_nights", + SUM(CAST(NULLIF("adr", '') AS REAL)) AS "total_measure", + SUM(CAST(NULLIF("adr", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("adr", '') AS REAL))) OVER (PARTITION BY "reservation_status") AS "share_within_group" +FROM "m12" +GROUP BY "reservation_status", "stays_in_week_nights" +ORDER BY "share_within_group" DESC +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..71864328775f63a799657c29aa679739a68584a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/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\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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"reservation_status\", \"stays_in_week_nights\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"reservation_status\": \"No-Show\", \"stays_in_week_nights\": \"1\", \"total_measure\": 37436.14, \"share_within_group\": 32.18131709430511}, {\"reservation_status\": \"Canceled\", \"stays_in_week_nights\": \"2\", \"total_measure\": 1451160.76, \"share_within_group\": 32.06550098362678}, {\"reservation_status\": \"Check-Out\", \"stays_in_week_nights\": \"1\", \"total_measure\": 1964191.93, \"share_within_group\": 26.13460465353043}, {\"reservation_status\": \"Check-Out\", \"stays_in_week_nights\": \"2\", \"total_measure\": 1927719.93, \"share_within_group\": 25.649325548996305}, {\"reservation_status\": \"No-Show\", \"stays_in_week_nights\": \"2\", \"total_measure\": 25498.49, \"share_within_group\": 21.919326942253335}, {\"reservation_status\": \"Canceled\", \"stays_in_week_nights\": \"3\", \"total_measure\": 936416.92, \"share_within_group\": 20.69148952824824}, {\"reservation_status\": \"Canceled\", \"stays_in_week_nights\": \"1\", \"total_measure\": 932089.34, \"share_within_group\": 20.595865373728845}, {\"reservation_status\": \"Check-Out\", \"stays_in_week_nights\": \"3\", \"total_measure\": 1438431.1, \"share_within_group\": 19.139080833023737}, {\"reservation_status\": \"No-Show\", \"stays_in_week_nights\": \"3\", \"total_measure\": 12647.44, \"share_within_group\": 10.872148599486971}, {\"reservation_status\": \"Check-Out\", \"stays_in_week_nights\": \"5\", \"total_measure\": 743107.82, \"share_within_group\": 9.887439610164193}, {\"reservation_status\": \"Canceled\", \"stays_in_week_nights\": \"5\", \"total_measure\": 427303.2, \"share_within_group\": 9.441883737200055}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 131.27}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cfe7d5a8c092adc220909926b7f08681ecdf7d59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:35:38.483408+00:00", + "ended_at": "2026-05-19T15:35:52.559947+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_9d20579fd8922599", + "problem_id": "v2p_m12_7be0f9add1874ac0", + "dataset_id": "m12", + "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=reservation_status, measure_col=adr.", + "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 + }, + "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=3", + "sql_variant_index=1/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "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/m12/sql/v2q_m12_9d20579fd8922599.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8b8a1e8ff6851d9b0cbf2a2015ce0e2509e72ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:52.426659+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": 13934.78, "started_at": "2026-05-19T15:35:38.491105+00:00", "ended_at": "2026-05-19T15:35:52.425914+00:00", "prompt_metrics": {"chars": 17321, "bytes_utf8": 17321, "lines": 482, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3c83d917820ad0384e772dcff25322f2f9893471 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_9d20579fd8922599/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_a07f143e42a18e99/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1ee4c5c7af79dc309410266424101a2d76d4982 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/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=stays_in_weekend_nights, measure_col=children. +Result preview: [{"stays_in_weekend_nights": "0", "total_measure": 4455.0}, {"stays_in_weekend_nights": "2", "total_measure": 4435.0}, {"stays_in_weekend_nights": "1", "total_measure": 3035.0}, {"stays_in_weekend_nights": "4", "total_measure": 253.0}, {"stays_in_weekend_nights": "3", "total_measure": 197.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5d8d2c5cdf052237f7d135ea3bd06c7bade51b41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/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: m12 +-- 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_m12_a07f143e42a18e99 +-- problem_id: v2p_m12_370ff063273419d8 +-- realization_mode: agent +-- source_kind: agent +SELECT "stays_in_weekend_nights", SUM(CAST(NULLIF("children", '') AS REAL)) AS total_measure +FROM "m12" +GROUP BY "stays_in_weekend_nights" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4df057c16d8c6dcab1588ccc43151661c4a521e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/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 \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"stays_in_weekend_nights\", \"total_measure\"], \"rows\": [{\"stays_in_weekend_nights\": \"0\", \"total_measure\": 4455.0}, {\"stays_in_weekend_nights\": \"2\", \"total_measure\": 4435.0}, {\"stays_in_weekend_nights\": \"1\", \"total_measure\": 3035.0}, {\"stays_in_weekend_nights\": \"4\", \"total_measure\": 253.0}, {\"stays_in_weekend_nights\": \"3\", \"total_measure\": 197.0}, {\"stays_in_weekend_nights\": \"5\", \"total_measure\": 11.0}, {\"stays_in_weekend_nights\": \"6\", \"total_measure\": 9.0}, {\"stays_in_weekend_nights\": \"8\", \"total_measure\": 8.0}, {\"stays_in_weekend_nights\": \"9\", \"total_measure\": 0.0}, {\"stays_in_weekend_nights\": \"7\", \"total_measure\": 0.0}, {\"stays_in_weekend_nights\": \"19\", \"total_measure\": 0.0}, {\"stays_in_weekend_nights\": \"18\", \"total_measure\": 0.0}, {\"stays_in_weekend_nights\": \"16\", \"total_measure\": 0.0}, {\"stays_in_weekend_nights\": \"14\", \"total_measure\": 0.0}, {\"stays_in_weekend_nights\": \"13\", \"total_measure\": 0.0}, {\"stays_in_weekend_nights\": \"12\", \"total_measure\": 0.0}, {\"stays_in_weekend_nights\": \"10\", \"total_measure\": 0.0}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 79.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..205cd1e90dffd87891f80216d8a45adc4abd596e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:31:06.814198+00:00", + "ended_at": "2026-05-19T15:31:17.044064+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_a07f143e42a18e99", + "problem_id": "v2p_m12_370ff063273419d8", + "dataset_id": "m12", + "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=stays_in_weekend_nights, measure_col=children.", + "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 + }, + "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=8", + "sql_variant_index=1/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "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/m12/sql/v2q_m12_a07f143e42a18e99.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ecd9518d0a9d740b0ffa43441a89fcb8cad5299e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:16.962470+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": 10139.09, "started_at": "2026-05-19T15:31:06.822054+00:00", "ended_at": "2026-05-19T15:31:16.961177+00:00", "prompt_metrics": {"chars": 16916, "bytes_utf8": 16916, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5f99d7480b1d219d8e06d10f784259fc63be0725 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a07f143e42a18e99/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_a18eb166b2ecacc1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d93455f77d2c23fc0a63bb2ff29cf7526d263fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17353, "bytes_utf8": 17353, "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": 735, "bytes_utf8": 735, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16787, "cached_input_tokens": 12032, "output_tokens": 1043, "reasoning_output_tokens": 836}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b977eb729f59fc6f98b7c9862f295e97ba9d6fa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/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_a18eb166b2ecacc1", + "api_calls": 0, + "input_tokens": 16787, + "cached_input_tokens": 12032, + "output_tokens": 1043, + "total_tokens": 17830, + "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": 20130.53, + "sql_execution_elapsed_ms_total": 196.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/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_a18eb166b2ecacc1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1917665c5b8bb88f83b09e417046d914b977bd75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/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": "2026-05-19T15:39:24.023430+00:00", + "ended_at": "2026-05-19T15:39:44.154067+00:00", + "elapsed_ms": 20130.53, + "prompt_metrics": { + "chars": 17353, + "bytes_utf8": 17353, + "lines": 482, + "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": 735, + "bytes_utf8": 735, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16787, + "cached_input_tokens": 12032, + "output_tokens": 1043, + "reasoning_output_tokens": 836 + } + }, + "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_a18eb166b2ecacc1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a00fa9c96fa15cafe91f5c5ffd42f44fe4bb762 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/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=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": 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": 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_a18eb166b2ecacc1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..76e477e469fc1355b857e73c403ad37d5de3307a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-4cff-7941-80d7-9ad4020519c8"} +{"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(NULLIF(\\\"stays_in_week_nights\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"stays_in_week_nights\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"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\":\"Used the requested within-group share template with \\\"arrival_date_day_of_month\\\" as the group column, \\\"adr\\\" as the item column, and \\\"stays_in_week_nights\\\" as the measure; cast the measure from TEXT to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16787,"cached_input_tokens":12032,"output_tokens":1043,"reasoning_output_tokens":836}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a16c1cc7bca1096e48775c1e833ec645bc3ef959 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/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(NULLIF(\"stays_in_week_nights\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"stays_in_week_nights\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"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":"Used the requested within-group share template with \"arrival_date_day_of_month\" as the group column, \"adr\" as the item column, and \"stays_in_week_nights\" as the measure; 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_a18eb166b2ecacc1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a18eb166b2ecacc1/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_a213e6400c570cec/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..90bc53ffbff1d24fc42ec7bc3a3f93f6f3b9a22c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/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": "2026-05-19T16:00:44.700237+00:00", + "ended_at": "2026-05-19T16:00:47.917781+00:00", + "elapsed_ms": 3217.52, + "returncode": 1, + "prompt_metrics": { + "chars": 17191, + "bytes_utf8": 17191, + "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_a213e6400c570cec/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..514847e2712fa5839719a63a5be1262bfd6e78d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/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": "2026-05-19T16:00:48.919492+00:00", + "ended_at": "2026-05-19T16:00:52.470508+00:00", + "elapsed_ms": 3550.99, + "returncode": 1, + "prompt_metrics": { + "chars": 17191, + "bytes_utf8": 17191, + "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_a213e6400c570cec/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa55f96c43fea984e73e9b39dcac8f6d77d141cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/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=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": "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": 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_a213e6400c570cec/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa55f96c43fea984e73e9b39dcac8f6d77d141cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/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=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": "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": 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_a213e6400c570cec/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d618be0455634715f6e7da536e07719a07c343e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-d79e-70b0-b72e-a2b7a99308cc"} +{"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_a213e6400c570cec/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87e12f0d4de0a1d15feeddfde1741232d1c4eaa3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-d79e-70b0-b72e-a2b7a99308cc"} +{"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_a213e6400c570cec/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f17ded13d047b92aa590a1cc55aafb9e944d0c8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-e849-7112-a3d4-97715323df03"} +{"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_a213e6400c570cec/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfd335477467d2c2203d28f692f6762ea61e08a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-e849-7112-a3d4-97715323df03"} +{"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_a213e6400c570cec/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/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_a213e6400c570cec/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a213e6400c570cec/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_a21c827045575c8e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b72b561acf5b6dd268f360db2346ea2f588f5152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/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": 667, "bytes_utf8": 667, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16779, "cached_input_tokens": 15744, "output_tokens": 690, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dc9e8fc52003cfc8b8bdce01728c04c4bb5fdbd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/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_a21c827045575c8e", + "api_calls": 0, + "input_tokens": 16779, + "cached_input_tokens": 15744, + "output_tokens": 690, + "total_tokens": 17469, + "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": 13980.92, + "sql_execution_elapsed_ms_total": 99.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/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_a21c827045575c8e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eccc9efbd2a91de97e9095f3f55a3a18f5e24543 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/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": "2026-05-19T15:37:32.021376+00:00", + "ended_at": "2026-05-19T15:37:46.002313+00:00", + "elapsed_ms": 13980.92, + "prompt_metrics": { + "chars": 17345, + "bytes_utf8": 17345, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1060, + "bytes_utf8": 1060, + "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": 667, + "bytes_utf8": 667, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16779, + "cached_input_tokens": 15744, + "output_tokens": 690, + "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_a21c827045575c8e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a88ba129c5b2dd89ccc5b2a7278efcbc1d2684b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/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=arrival_date_year, measure_col=arrival_date_week_number.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "arrival_date_week_number", + "item_col": "agent", + "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": 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}, {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_a21c827045575c8e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..555b5c5d3c3f038ef4f069953b611f17e3a63a14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-9791-7792-80a3-eaedcd1fc6a1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"arrival_date_year\\\", \\\"agent\\\",\\n SUM(CAST(\\\"arrival_date_week_number\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"arrival_date_week_number\\\" AS REAL)) * 100.0 /\\n SUM(SUM(CAST(\\\"arrival_date_week_number\\\" AS REAL))) OVER (PARTITION BY \\\"arrival_date_year\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_year\\\", \\\"agent\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the provided template with group_col=\\\"arrival_date_year\\\", item_col=\\\"agent\\\", and measure_col=\\\"arrival_date_week_number\\\". CAST is added because the schema stores the measure as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16779,"cached_input_tokens":15744,"output_tokens":690,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac62fc938017eea43f4a9ebe8373867ad228ce89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"arrival_date_year\", \"agent\",\n SUM(CAST(\"arrival_date_week_number\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"arrival_date_week_number\" AS REAL)) * 100.0 /\n SUM(SUM(CAST(\"arrival_date_week_number\" AS REAL))) OVER (PARTITION BY \"arrival_date_year\") AS \"share_within_group\"\nFROM \"m12\"\nGROUP BY \"arrival_date_year\", \"agent\"\nORDER BY \"share_within_group\" DESC;","notes":"Uses the provided template with group_col=\"arrival_date_year\", item_col=\"agent\", and measure_col=\"arrival_date_week_number\". CAST is added because the schema stores the 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_a21c827045575c8e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a21c827045575c8e/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_a2221fa5fa33af5f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7df858e81a9f6a584b52152d59488b882cce5ae9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"total_rows": 119390, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f2a99275a371dfd4853a9fbb3990b5cbe1693f89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/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: m12 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_m12_a2221fa5fa33af5f +-- problem_id: v2p_m12_09f7cc99790fac9d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "company" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "company" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m12"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f754b79212d160736d3411db749f13c97615ad5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/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: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_m12_a2221fa5fa33af5f\n-- problem_id: v2p_m12_09f7cc99790fac9d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"company\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"company\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\";", "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: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_m12_a2221fa5fa33af5f\\n-- problem_id: v2p_m12_09f7cc99790fac9d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"company\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"company\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 119390, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 19.43}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9f219e691c826cbb307b1788cc443e36a1ed96f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:23.408059+00:00", + "ended_at": "2026-05-19T16:10:23.428152+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_a2221fa5fa33af5f", + "problem_id": "v2p_m12_09f7cc99790fac9d", + "dataset_id": "m12", + "template_id": "tpl_missing_marginal_rate_profile", + "template_name": "Marginal Missing Rate Profile", + "family_id": "missingness_structure", + "canonical_subitem_id": "marginal_missing_rate_consistency", + "intended_facet_id": "missing_indicator_distribution", + "variant_semantic_role": "missing_indicator_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=company.", + "bindings": { + "missing_col": "company" + }, + "binding_roles": [ + "missing_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};", + "notes": [ + "default_facets=missing_indicator_distribution", + "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/m12/sql/v2q_m12_a2221fa5fa33af5f.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/m12/artifacts/v2q_m12_a2221fa5fa33af5f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a2221fa5fa33af5f/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/m12/artifacts/v2q_m12_a48c12fa8785c5cd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8aacb7e63cc152aa4a11423e769a246c42fc45de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/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=is_canceled, group_col_2=total_of_special_requests. +Result preview: [{"is_canceled": "1", "total_of_special_requests": "0", "row_count": 48}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..809971cc574ca025eb2fb6bca69e2af648d684cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/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: m12 +-- 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_m12_a48c12fa8785c5cd +-- problem_id: v2p_m12_588bbb2dc13ed90d +-- realization_mode: agent +-- source_kind: agent +SELECT "is_canceled", "total_of_special_requests", COUNT(*) AS row_count +FROM "m12" +WHERE "previous_cancellations" = '24' +GROUP BY "is_canceled", "total_of_special_requests" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb4ceee9ef12f00c915aeb4a83fb1e36b9800681 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/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 \"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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"is_canceled\", \"total_of_special_requests\", \"row_count\"], \"rows\": [{\"is_canceled\": \"1\", \"total_of_special_requests\": \"0\", \"row_count\": 48}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 24.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ba84e3c94ac055b879326c5ecaa23f5441753f14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:43:11.721791+00:00", + "ended_at": "2026-05-19T15:43:22.441111+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_a48c12fa8785c5cd", + "problem_id": "v2p_m12_588bbb2dc13ed90d", + "dataset_id": "m12", + "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=is_canceled, group_col_2=total_of_special_requests.", + "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 + }, + "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/m12/sql/v2q_m12_a48c12fa8785c5cd.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9c13a63a9fa4e577a4dda2821daf9905faa45d52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:22.414856+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": 10683.94, "started_at": "2026-05-19T15:43:11.729710+00:00", "ended_at": "2026-05-19T15:43:22.413677+00:00", "prompt_metrics": {"chars": 17250, "bytes_utf8": 17250, "lines": 484, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..11151a48326314859e2c6948d35e622e10639632 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a48c12fa8785c5cd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_a4c4b754fe9f69ce/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ee5df31d0ca68f6b5e56f4bf74fde6060a056b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17081, "bytes_utf8": 17081, "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": 648, "bytes_utf8": 648, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16716, "cached_input_tokens": 15744, "output_tokens": 630, "reasoning_output_tokens": 441}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3867ebe28f2da48396fb1896e2434ff21110b914 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/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_a4c4b754fe9f69ce", + "api_calls": 0, + "input_tokens": 16716, + "cached_input_tokens": 15744, + "output_tokens": 630, + "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": 15883.5, + "sql_execution_elapsed_ms_total": 164.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/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_a4c4b754fe9f69ce/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6778dfced71826ac06abfd217f34aa6e155fdbc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/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": "2026-05-19T15:45:24.828256+00:00", + "ended_at": "2026-05-19T15:45:40.711780+00:00", + "elapsed_ms": 15883.5, + "prompt_metrics": { + "chars": 17081, + "bytes_utf8": 17081, + "lines": 478, + "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": 648, + "bytes_utf8": 648, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16716, + "cached_input_tokens": 15744, + "output_tokens": 630, + "reasoning_output_tokens": 441 + } + }, + "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_a4c4b754fe9f69ce/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b01e7ca15c22ea7f7028758fbdd5cd4462c2dc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/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=stays_in_week_nights.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "stays_in_week_nights", + "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 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_a4c4b754fe9f69ce/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3378bee64191782c11df98e1b6445b608b4fcee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-ce5f-7193-8510-e3ec5d1fca7b"} +{"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(\\\"stays_in_week_nights\\\" AS INTEGER) AS \\\"stays_in_week_nights\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"stays_in_week_nights\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"stays_in_week_nights\\\" IS NOT NULL\\n AND \\\"stays_in_week_nights\\\" <> ''\\n)\\nSELECT \\\"stays_in_week_nights\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"stays_in_week_nights\\\" DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with NTILE(10) on \\\"stays_in_week_nights\\\", casting from TEXT to INTEGER for correct numeric tail ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16716,"cached_input_tokens":15744,"output_tokens":630,"reasoning_output_tokens":441}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2480c1b83d44cd90b77c0c108578697a6a25b89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"stays_in_week_nights\" AS INTEGER) AS \"stays_in_week_nights\",\n NTILE(10) OVER (ORDER BY CAST(\"stays_in_week_nights\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"m12\"\n WHERE \"stays_in_week_nights\" IS NOT NULL\n AND \"stays_in_week_nights\" <> ''\n)\nSELECT \"stays_in_week_nights\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"stays_in_week_nights\" DESC;","notes":"Used the planned Quantile Tail Slice template with NTILE(10) on \"stays_in_week_nights\", casting from TEXT to INTEGER for correct numeric tail ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c4b754fe9f69ce/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8d254dcbf02217755a11070b48ee1b2d6c56d71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/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=lead_time, measure_col=arrival_date_year. +Result preview: [{"lead_time": "356", "booking_changes": "0", "total_measure": 62483.0, "share_within_group": 100.0}, {"lead_time": "370", "booking_changes": "0", "total_measure": 2016.0, "share_within_group": 100.0}, {"lead_time": "371", "booking_changes": "0", "total_measure": 2017.0, "share_within_group": 100.0}, {"lead_time": "372", "booking_changes": "0", "total_measure": 88715.0, "share_within_group": 100.0}, {"lead_time": "373", "booking_changes": "0", "total_measure": 58491.0, "share_within_group": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..74f2f0c24b8c5717095f5d107a6a6aadf03e6f17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/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: m12 +-- 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_m12_a4c73a45858873ef +-- problem_id: v2p_m12_f5a3d0fdcff0d53f +-- realization_mode: agent +-- source_kind: agent +SELECT + "lead_time", + "booking_changes", + SUM(CAST("arrival_date_year" AS REAL)) AS total_measure, + 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 +FROM "m12" +GROUP BY "lead_time", "booking_changes" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9154921e9b5dc89162214eef405bc8f120a114d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/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\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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"lead_time\", \"booking_changes\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"lead_time\": \"356\", \"booking_changes\": \"0\", \"total_measure\": 62483.0, \"share_within_group\": 100.0}, {\"lead_time\": \"370\", \"booking_changes\": \"0\", \"total_measure\": 2016.0, \"share_within_group\": 100.0}, {\"lead_time\": \"371\", \"booking_changes\": \"0\", \"total_measure\": 2017.0, \"share_within_group\": 100.0}, {\"lead_time\": \"372\", \"booking_changes\": \"0\", \"total_measure\": 88715.0, \"share_within_group\": 100.0}, {\"lead_time\": \"373\", \"booking_changes\": \"0\", \"total_measure\": 58491.0, \"share_within_group\": 100.0}, {\"lead_time\": \"374\", \"booking_changes\": \"0\", \"total_measure\": 42316.0, \"share_within_group\": 100.0}, {\"lead_time\": \"376\", \"booking_changes\": \"0\", \"total_measure\": 6048.0, \"share_within_group\": 100.0}, {\"lead_time\": \"379\", \"booking_changes\": \"0\", \"total_measure\": 137061.0, \"share_within_group\": 100.0}, {\"lead_time\": \"380\", \"booking_changes\": \"0\", \"total_measure\": 2016.0, \"share_within_group\": 100.0}, {\"lead_time\": \"387\", \"booking_changes\": \"0\", \"total_measure\": 2017.0, \"share_within_group\": 100.0}, {\"lead_time\": \"391\", \"booking_changes\": \"0\", \"total_measure\": 110880.0, \"share_within_group\": 100.0}, {\"lead_time\": \"398\", \"booking_changes\": \"0\", \"total_measure\": 66528.0, \"share_within_group\": 100.0}, {\"lead_time\": \"400\", \"booking_changes\": \"0\", \"total_measure\": 2016.0, \"share_within_group\": 100.0}, {\"lead_time\": \"403\", \"booking_changes\": \"0\", \"total_measure\": 4032.0, \"share_within_group\": 100.0}, {\"lead_time\": \"407\", \"booking_changes\": \"0\", \"total_measure\": 58493.0, \"share_within_group\": 100.0}, {\"lead_time\": \"410\", \"booking_changes\": \"0\", \"total_measure\": 20170.0, \"share_within_group\": 100.0}, {\"lead_time\": \"411\", \"booking_changes\": \"0\", \"total_measure\": 48408.0, \"share_within_group\": 100.0}, {\"lead_time\": \"412\", \"booking_changes\": \"0\", \"total_measure\": 64512.0, \"share_within_group\": 100.0}, {\"lead_time\": \"419\", \"booking_changes\": \"0\", \"total_measure\": 64512.0, \"share_within_group\": 100.0}, {\"lead_time\": \"424\", \"booking_changes\": \"0\", \"total_measure\": 2016.0, \"share_within_group\": 100.0}, {\"lead_time\": \"426\", \"booking_changes\": \"0\", \"total_measure\": 64512.0, \"share_within_group\": 100.0}, {\"lead_time\": \"429\", \"booking_changes\": \"0\", \"total_measure\": 30240.0, \"share_within_group\": 100.0}, {\"lead_time\": \"433\", \"booking_changes\": \"0\", \"total_measure\": 104832.0, \"share_within_group\": 100.0}, {\"lead_time\": \"435\", \"booking_changes\": \"0\", \"total_measure\": 2016.0, \"share_within_group\": 100.0}, {\"lead_time\": \"437\", \"booking_changes\": \"0\", \"total_measure\": 80650.0, \"share_within_group\": 100.0}, {\"lead_time\": \"440\", \"booking_changes\": \"0\", \"total_measure\": 64512.0, \"share_within_group\": 100.0}, {\"lead_time\": \"443\", \"booking_changes\": \"0\", \"total_measure\": 74592.0, \"share_within_group\": 100.0}, {\"lead_time\": \"444\", \"booking_changes\": \"0\", \"total_measure\": 80640.0, \"share_within_group\": 100.0}, {\"lead_time\": \"447\", \"booking_changes\": \"0\", \"total_measure\": 64512.0, \"share_within_group\": 100.0}, {\"lead_time\": \"450\", \"booking_changes\": \"0\", \"total_measure\": 22187.0, \"share_within_group\": 100.0}, {\"lead_time\": \"458\", \"booking_changes\": \"2\", \"total_measure\": 2017.0, \"share_within_group\": 100.0}, {\"lead_time\": \"460\", \"booking_changes\": \"0\", \"total_measure\": 6045.0, \"share_within_group\": 100.0}, {\"lead_time\": \"461\", \"booking_changes\": \"0\", \"total_measure\": 64512.0, \"share_within_group\": 100.0}, {\"lead_time\": \"463\", \"booking_changes\": \"1\", \"total_measure\": 2017.0, \"share_within_group\": 100.0}, {\"lead_time\": \"467\", \"booking_changes\": \"0\", \"total_measure\": 20170.0, \"share_within_group\": 100.0}, {\"lead_time\": \"471\", \"booking_changes\": \"0\", \"total_measure\": 12102.0, \"share_within_group\": 100.0}, {\"lead_time\": \"475\", \"booking_changes\": \"0\", \"total_measure\": 64512.0, \"share_within_group\": 100.0}, {\"lead_time\": \"482\", \"booking_changes\": \"0\", \"total_measure\": 34272.0, \"share_within_group\": 100.0}, {\"lead_time\": \"489\", \"booking_changes\": \"0\", \"total_measure\": 34272.0, \"share_within_group\": 100.0}, {\"lead_time\": \"490\", \"booking_changes\": \"0\", \"total_measure\": 18153.0, \"share_within_group\": 100.0}, {\"lead_time\": \"493\", \"booking_changes\": \"0\", \"total_measure\": 20170.0, \"share_within_group\": 100.0}, {\"lead_time\": \"496\", \"booking_changes\": \"0\", \"total_measure\": 34272.0, \"share_within_group\": 100.0}, {\"lead_time\": \"503\", \"booking_changes\": \"0\", \"total_measure\": 34272.0, \"share_within_group\": 100.0}, {\"lead_time\": \"507\", \"booking_changes\": \"0\", \"total_measure\": 20170.0, \"share_within_group\": 100.0}, {\"lead_time\": \"510\", \"booking_changes\": \"0\", \"total_measure\": 34272.0, \"share_within_group\": 100.0}, {\"lead_time\": \"517\", \"booking_changes\": \"0\", \"total_measure\": 34272.0, \"share_within_group\": 100.0}, {\"lead_time\": \"521\", \"booking_changes\": \"0\", \"total_measure\": 20170.0, \"share_within_group\": 100.0}, {\"lead_time\": \"524\", \"booking_changes\": \"0\", \"total_measure\": 34272.0, \"share_within_group\": 100.0}, {\"lead_time\": \"531\", \"booking_changes\": \"0\", \"total_measure\": 34272.0, \"share_within_group\": 100.0}, {\"lead_time\": \"532\", \"booking_changes\": \"0\", \"total_measure\": 2015.0, \"share_within_group\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 108.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b7cf5c8b2d5665d5f1e4be90a4b9c0bc502c17d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:37:16.164396+00:00", + "ended_at": "2026-05-19T15:37:32.012861+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_a4c73a45858873ef", + "problem_id": "v2p_m12_f5a3d0fdcff0d53f", + "dataset_id": "m12", + "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=lead_time, measure_col=arrival_date_year.", + "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 + }, + "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/m12/sql/v2q_m12_a4c73a45858873ef.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1a096a4bc2c2d3a57f7c172977ae97afcbe6372b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:31.902505+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": 15727.86, "started_at": "2026-05-19T15:37:16.173856+00:00", "ended_at": "2026-05-19T15:37:31.901738+00:00", "prompt_metrics": {"chars": 17330, "bytes_utf8": 17330, "lines": 482, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..30824c0e8586c1fae9722bb8de173c240315c6e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a4c73a45858873ef/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_a50091cec74a3eb1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef5e5d78bdbb7b6bdee085e3db798f5aa2419861 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17112, "bytes_utf8": 17112, "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": 594, "bytes_utf8": 594, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16709, "cached_input_tokens": 15744, "output_tokens": 668, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7851927c6b1edc6b5a3401aac2bd0a2bcba9b112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/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_a50091cec74a3eb1", + "api_calls": 0, + "input_tokens": 16709, + "cached_input_tokens": 15744, + "output_tokens": 668, + "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": 14771.42, + "sql_execution_elapsed_ms_total": 71.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/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_a50091cec74a3eb1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..510df05247099e9ed89b4fd6deaccf993b32e0fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/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": "2026-05-19T15:56:31.736526+00:00", + "ended_at": "2026-05-19T15:56:46.507979+00:00", + "elapsed_ms": 14771.42, + "prompt_metrics": { + "chars": 17112, + "bytes_utf8": 17112, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 955, + "bytes_utf8": 955, + "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": 594, + "bytes_utf8": 594, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16709, + "cached_input_tokens": 15744, + "output_tokens": 668, + "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_a50091cec74a3eb1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf9bb578a4dac3a5c65aeca42a3367201e490054 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/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_week_nights, measure_col=stays_in_week_nights.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "stays_in_week_nights", + "measure_col": "stays_in_week_nights", + "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},\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_a50091cec74a3eb1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2bae70305d41e5439a267f1ffda6a05ca8e88f70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-fb8c-7241-8357-e7bb78105603"} +{"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_week_nights\\\",\\n CAST(\\\"stays_in_week_nights\\\" AS REAL) AS \\\"percentile_measure\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"stays_in_week_nights\\\"\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 14;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because the bound group_col and measure_col are both \\\"stays_in_week_nights\\\", every group contains a single measure value, so the 0.9 percentile within each group is exactly that grouped value. The query preserves the grouped-percentile intent with a SQLite-compatible simplification.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16709,"cached_input_tokens":15744,"output_tokens":668,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d5f6d0d270e5a986b871c9810802db70a2125ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"stays_in_week_nights\",\n CAST(\"stays_in_week_nights\" AS REAL) AS \"percentile_measure\"\nFROM \"m12\"\nGROUP BY \"stays_in_week_nights\"\nORDER BY \"percentile_measure\" DESC\nLIMIT 14;","notes":"SQLite does not support PERCENTILE_CONT. Because the bound group_col and measure_col are both \"stays_in_week_nights\", every group contains a single measure value, so the 0.9 percentile within each group is exactly that grouped value. The query preserves the grouped-percentile intent with a SQLite-compatible simplification."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_a50091cec74a3eb1/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_ad7f5bc1c860fa0d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92c064d72b5d59bd267d127aacb95fe6eb58e4e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16920, "bytes_utf8": 16920, "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": 454, "bytes_utf8": 454, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16663, "cached_input_tokens": 12032, "output_tokens": 516, "reasoning_output_tokens": 388}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2097527d644450c658af0ac314541bba6b15da69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/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_ad7f5bc1c860fa0d", + "api_calls": 0, + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 516, + "total_tokens": 17179, + "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": 18872.05, + "sql_execution_elapsed_ms_total": 88.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/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_ad7f5bc1c860fa0d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b4b569aad8b4a8e17da2ba002d083bcff5a95392 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/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": "2026-05-19T15:31:17.051880+00:00", + "ended_at": "2026-05-19T15:31:35.923964+00:00", + "elapsed_ms": 18872.05, + "prompt_metrics": { + "chars": 16920, + "bytes_utf8": 16920, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1488, + "bytes_utf8": 1488, + "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": 454, + "bytes_utf8": 454, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 516, + "reasoning_output_tokens": 388 + } + }, + "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_ad7f5bc1c860fa0d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c56992aefdf0dfaa7e755851b9dc5c3f237b3569 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/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": 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": 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_ad7f5bc1c860fa0d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a63fc8d628af8f4e7907ee9fb0a193a23b545b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dc-ded6-7712-9a29-e1b23cc917e5"} +{"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 1988336, Requested 17298. Please try again in 169ms. 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 1994106, Requested 17298. Please try again in 342ms. 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 \\\"stays_in_weekend_nights\\\",\\n SUM(CAST(NULLIF(\\\"children\\\", '') AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"stays_in_weekend_nights\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the planned grouped-sum template with group_col=\\\"stays_in_weekend_nights\\\" and measure_col=\\\"children\\\". Used NULLIF and CAST because the schema stores fields as TEXT and \\\"children\\\" can be blank.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16663,"cached_input_tokens":12032,"output_tokens":516,"reasoning_output_tokens":388}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7833cea2044b5015c7759c02553445071d2e93fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"stays_in_weekend_nights\",\n SUM(CAST(NULLIF(\"children\", '') AS REAL)) AS \"total_measure\"\nFROM \"m12\"\nGROUP BY \"stays_in_weekend_nights\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the planned grouped-sum template with group_col=\"stays_in_weekend_nights\" and measure_col=\"children\". Used NULLIF and CAST because the schema stores fields as TEXT and \"children\" can be blank."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ad7f5bc1c860fa0d/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_b0109fe799a9c88c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..542361061a3fee24a93edd6a2ea2d4e964695c96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17132, "bytes_utf8": 17132, "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": 17132, "bytes_utf8": 17132, "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": 443, "bytes_utf8": 443, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16714, "cached_input_tokens": 15744, "output_tokens": 456, "reasoning_output_tokens": 340}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..23db68721a79eae5fc0cdd2cbc72cb1777c67037 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/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_b0109fe799a9c88c", + "api_calls": 0, + "input_tokens": 16714, + "cached_input_tokens": 15744, + "output_tokens": 456, + "total_tokens": 17170, + "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": 16965.21, + "sql_execution_elapsed_ms_total": 80.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/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_b0109fe799a9c88c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1115030c8798789085464e87ba880e691e4ef29a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/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": "2026-05-19T16:02:06.122778+00:00", + "ended_at": "2026-05-19T16:02:09.416921+00:00", + "elapsed_ms": 3294.12, + "returncode": 1, + "prompt_metrics": { + "chars": 17132, + "bytes_utf8": 17132, + "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_b0109fe799a9c88c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fb914d46be6dd547f94770336ed053bc4c8affef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/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": "2026-05-19T16:02:10.419293+00:00", + "ended_at": "2026-05-19T16:02:24.090431+00:00", + "elapsed_ms": 13671.09, + "prompt_metrics": { + "chars": 17132, + "bytes_utf8": 17132, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 803, + "bytes_utf8": 803, + "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": 16714, + "cached_input_tokens": 15744, + "output_tokens": 456, + "reasoning_output_tokens": 340 + } + }, + "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_b0109fe799a9c88c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..63721f9cf78c599ef608717f9fea0523aa872d92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/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=deposit_type, condition_col=children.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "deposit_type", + "condition_col": "children", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": 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_b0109fe799a9c88c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..63721f9cf78c599ef608717f9fea0523aa872d92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/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 focused_target_view. 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": "0", + "positive_value": "0", + "negative_value": "1", + "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": 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_b0109fe799a9c88c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4bd25a763b4126644c9fe6049b007fb41c11e6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-15d2-7582-b039-2144ec65df88"} +{"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_b0109fe799a9c88c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa84ba13eb59677900134756c6ad95bfd4ef9170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-15d2-7582-b039-2144ec65df88"} +{"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_b0109fe799a9c88c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9474dc66fa90f89c23f5ca3e8ac4404f7f921105 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-2675-7ec3-ad9d-eedb72d4435e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"deposit_type\\\",\\n AVG(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"deposit_type\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the grouped condition rate template with group_col=\\\"deposit_type\\\" and condition_col=\\\"children\\\". The condition value is compared as text ('0') because the SQLite schema stores \\\"children\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16714,"cached_input_tokens":15744,"output_tokens":456,"reasoning_output_tokens":340}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc5fad3729e6df5e47f23478ed7f6a7dc876d7d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT\n \"deposit_type\",\n AVG(CASE WHEN \"children\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m12\"\nGROUP BY \"deposit_type\"\nORDER BY condition_rate DESC;","notes":"Uses the grouped condition rate template with group_col=\"deposit_type\" and condition_col=\"children\". The condition value is compared as text ('0') because the SQLite schema stores \"children\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/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_b0109fe799a9c88c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b0109fe799a9c88c/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_b6ca8f85b6355900/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f5ccc558a58d784a8efdc0a71f0e63dc7bf3ea5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 111974, "support_share": 0.9378842449116341, "cumulative_support": 111974}, {"value_label": "1", "support": 7383, "support_share": 0.06183935002931569, "cumulative_support": 119357}, {"value_label": "2", "support": 28, "support_share": 0.00023452550464863055, "cumulative_support": 119385}, {"value_label": "3", "support": 3, "support_share": 2.51277326409247e-05, "cumulative_support": 119388}, {"value_label": "8", "support": 2, "support_share": 1.6751821760616466e-05, "cumulative_support": 119390}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6df3bf9692ad61bfe7266b932111f20cea32c0cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/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: m12 +-- 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_m12_b6ca8f85b6355900 +-- problem_id: v2p_m12_40382bd8b031996c +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "required_car_parking_spaces" AS value_label, COUNT(*) AS support + FROM "m12" + GROUP BY "required_car_parking_spaces" +), 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/m12/artifacts/v2q_m12_b6ca8f85b6355900/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1e00b220956b7c83b46397fc9e2baef416a6523e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/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: m12\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_m12_b6ca8f85b6355900\n-- problem_id: v2p_m12_40382bd8b031996c\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"required_car_parking_spaces\" AS value_label, COUNT(*) AS support\n FROM \"m12\"\n GROUP BY \"required_car_parking_spaces\"\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: m12\\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_m12_b6ca8f85b6355900\\n-- problem_id: v2p_m12_40382bd8b031996c\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"required_car_parking_spaces\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m12\\\"\\n GROUP BY \\\"required_car_parking_spaces\\\"\\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\": 111974, \"support_share\": 0.9378842449116341, \"cumulative_support\": 111974}, {\"value_label\": \"1\", \"support\": 7383, \"support_share\": 0.06183935002931569, \"cumulative_support\": 119357}, {\"value_label\": \"2\", \"support\": 28, \"support_share\": 0.00023452550464863055, \"cumulative_support\": 119385}, {\"value_label\": \"3\", \"support\": 3, \"support_share\": 2.51277326409247e-05, \"cumulative_support\": 119388}, {\"value_label\": \"8\", \"support\": 2, \"support_share\": 1.6751821760616466e-05, \"cumulative_support\": 119390}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 45.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..20eac0d15b47265a3f39f2dc1699a35718e8b60c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:25.397310+00:00", + "ended_at": "2026-05-19T16:10:25.443559+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_b6ca8f85b6355900", + "problem_id": "v2p_m12_40382bd8b031996c", + "dataset_id": "m12", + "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=required_car_parking_spaces.", + "bindings": { + "group_col": "required_car_parking_spaces" + }, + "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=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/m12/sql/v2q_m12_b6ca8f85b6355900.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/m12/artifacts/v2q_m12_b6ca8f85b6355900/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b6ca8f85b6355900/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/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8850446c7f57f8b87018a58154d51088dd523662 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17132, "bytes_utf8": 17132, "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": 585, "bytes_utf8": 585, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16701, "cached_input_tokens": 15744, "output_tokens": 470, "reasoning_output_tokens": 329}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9a268857e69fab31e1495f8dadab7a8c386a25e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/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_b8563637e9f0402b", + "api_calls": 0, + "input_tokens": 16701, + "cached_input_tokens": 15744, + "output_tokens": 470, + "total_tokens": 17171, + "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": 14992.27, + "sql_execution_elapsed_ms_total": 68.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/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_b8563637e9f0402b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..07855318a24521de27498b79e0240bb6d5c384cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/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": "2026-05-19T15:55:16.359100+00:00", + "ended_at": "2026-05-19T15:55:31.351399+00:00", + "elapsed_ms": 14992.27, + "prompt_metrics": { + "chars": 17132, + "bytes_utf8": 17132, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 943, + "bytes_utf8": 943, + "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": 585, + "bytes_utf8": 585, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16701, + "cached_input_tokens": 15744, + "output_tokens": 470, + "reasoning_output_tokens": 329 + } + }, + "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_b8563637e9f0402b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d604dca0f25f28e470165b3cdecdd16d0bcfdfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/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_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": 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": 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": "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_b8563637e9f0402b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b0212848443d491721f5ee30f894e98fa93c01f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-d533-74a3-91f5-74c7c23b2174"} +{"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 CAST(\\\"arrival_date_week_number\\\" AS REAL) AS percentile_measure\\nFROM \\\"m12\\\"\\nWHERE \\\"arrival_date_week_number\\\" IS NOT NULL\\n AND \\\"arrival_date_week_number\\\" <> ''\\nGROUP BY \\\"arrival_date_week_number\\\"\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because the grouping column and measure column are the same, every row in each group has the same measure value, so the 0.9 percentile within each group equals that grouped week number itself.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16701,"cached_input_tokens":15744,"output_tokens":470,"reasoning_output_tokens":329}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46b2ea76b6fd328e674c93719b065f642bdcf49a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"arrival_date_week_number\",\n CAST(\"arrival_date_week_number\" AS REAL) AS percentile_measure\nFROM \"m12\"\nWHERE \"arrival_date_week_number\" IS NOT NULL\n AND \"arrival_date_week_number\" <> ''\nGROUP BY \"arrival_date_week_number\"\nORDER BY percentile_measure DESC;","notes":"SQLite does not support PERCENTILE_CONT. Because the grouping column and measure column are the same, every row in each group has the same measure value, so the 0.9 percentile within each group equals that grouped week number itself."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8563637e9f0402b/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_b8eefe1cd7009290/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4fd20b55fe99553608f533f4384adec43b1c069c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/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": "2026-05-19T16:09:59.758868+00:00", + "ended_at": "2026-05-19T16:10:03.040246+00:00", + "elapsed_ms": 3281.36, + "returncode": 1, + "prompt_metrics": { + "chars": 17028, + "bytes_utf8": 17028, + "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_b8eefe1cd7009290/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2e7264ee8badf6a5c9c3980bf7c6da3a9dd6c6e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/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": "2026-05-19T16:10:04.042696+00:00", + "ended_at": "2026-05-19T16:10:07.609404+00:00", + "elapsed_ms": 3566.67, + "returncode": 1, + "prompt_metrics": { + "chars": 17028, + "bytes_utf8": 17028, + "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_b8eefe1cd7009290/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e4bf079f9eb8d94537b79940ed187419c2ae9f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/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=arrival_date_month, measure_col=total_of_special_requests.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_month", + "measure_col": "total_of_special_requests", + "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": 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_b8eefe1cd7009290/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e4bf079f9eb8d94537b79940ed187419c2ae9f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/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=arrival_date_month, measure_col=total_of_special_requests.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_month", + "measure_col": "total_of_special_requests", + "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": 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_b8eefe1cd7009290/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb64f3c9ca6b1fe5812fb1790882c7864ee97c7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4fdb-7c81-9639-69535c8353c5"} +{"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_b8eefe1cd7009290/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbf7b0595cd7beb9c0138692be6b7850ae661b65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4fdb-7c81-9639-69535c8353c5"} +{"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_b8eefe1cd7009290/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..59728f500bcd240bf3df8637458d1ce6e76a9eb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6096-7d53-afd2-c6dbf732dbd5"} +{"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_b8eefe1cd7009290/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7291b1550f6dd4112566a35caf1424a6f02190d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-6096-7d53-afd2-c6dbf732dbd5"} +{"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_b8eefe1cd7009290/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/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_b8eefe1cd7009290/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_b8eefe1cd7009290/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_ba9c71d0c542e76d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d01bd90ef29d9001a8c6d37dfef955de94bc8e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"hotel": "City Hotel", "total_rows": 79330, "missing_rows": 0, "missing_rate": 0.0}, {"hotel": "Resort Hotel", "total_rows": 40060, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..57ca85b763a0b7c3ab9dac2f941e164c56c2b6a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/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: m12 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m12_ba9c71d0c542e76d +-- problem_id: v2p_m12_55a983872f30974d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "hotel", + COUNT(*) AS total_rows, + SUM(CASE WHEN "country" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "country" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m12" +GROUP BY "hotel" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a0795d6f4d573c66be579c8212d1889ba69f067 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/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: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m12_ba9c71d0c542e76d\n-- problem_id: v2p_m12_55a983872f30974d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"hotel\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"country\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"country\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"hotel\"\nORDER BY missing_rate DESC, total_rows 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: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m12_ba9c71d0c542e76d\\n-- problem_id: v2p_m12_55a983872f30974d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"hotel\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"country\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"country\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"hotel\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"hotel\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"hotel\": \"City Hotel\", \"total_rows\": 79330, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"hotel\": \"Resort Hotel\", \"total_rows\": 40060, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 51.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..38c3beef96d58189a343c0a4fa693ee6ff37de07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:23.595247+00:00", + "ended_at": "2026-05-19T16:10:23.648076+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_ba9c71d0c542e76d", + "problem_id": "v2p_m12_55a983872f30974d", + "dataset_id": "m12", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=hotel, missing_col=country.", + "bindings": { + "missing_col": "country", + "group_col": "hotel" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "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/m12/sql/v2q_m12_ba9c71d0c542e76d.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/m12/artifacts/v2q_m12_ba9c71d0c542e76d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ba9c71d0c542e76d/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/m12/artifacts/v2q_m12_bb204923206a112e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7df858e81a9f6a584b52152d59488b882cce5ae9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"total_rows": 119390, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..adf5a071a9636d146f8753ef60abba07bd3f4632 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/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: m12 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_m12_bb204923206a112e +-- problem_id: v2p_m12_71fbe363ef05a8f0 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "country" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "country" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m12"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..12326d622c4fcac1f4b6c4ad2382c746ac3b5f3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/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: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_m12_bb204923206a112e\n-- problem_id: v2p_m12_71fbe363ef05a8f0\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"country\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"country\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\";", "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: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_m12_bb204923206a112e\\n-- problem_id: v2p_m12_71fbe363ef05a8f0\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"country\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"country\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 119390, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 18.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7e47a56d77149681e4cd9b12eef359b9e0f47cb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:23.366794+00:00", + "ended_at": "2026-05-19T16:10:23.386481+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_bb204923206a112e", + "problem_id": "v2p_m12_71fbe363ef05a8f0", + "dataset_id": "m12", + "template_id": "tpl_missing_marginal_rate_profile", + "template_name": "Marginal Missing Rate Profile", + "family_id": "missingness_structure", + "canonical_subitem_id": "marginal_missing_rate_consistency", + "intended_facet_id": "missing_indicator_distribution", + "variant_semantic_role": "missing_indicator_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=country.", + "bindings": { + "missing_col": "country" + }, + "binding_roles": [ + "missing_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};", + "notes": [ + "default_facets=missing_indicator_distribution", + "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/m12/sql/v2q_m12_bb204923206a112e.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/m12/artifacts/v2q_m12_bb204923206a112e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bb204923206a112e/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/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0275d8f97a931de90d816773808e0c2472a6467f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17472, "bytes_utf8": 17472, "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": 16795, "cached_input_tokens": 15744, "output_tokens": 859, "reasoning_output_tokens": 647}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..63fbe3ace76fba0d16d03e727d42b47772240440 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/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_bd3572cf7944c305", + "api_calls": 0, + "input_tokens": 16795, + "cached_input_tokens": 15744, + "output_tokens": 859, + "total_tokens": 17654, + "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": 21220.29, + "sql_execution_elapsed_ms_total": 82.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/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_bd3572cf7944c305/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..77ce7ab6b0d5d291aea0c986b8ec4a4a3fb31f8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/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": "2026-05-19T15:51:30.697205+00:00", + "ended_at": "2026-05-19T15:51:51.917522+00:00", + "elapsed_ms": 21220.29, + "prompt_metrics": { + "chars": 17472, + "bytes_utf8": 17472, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1527, + "bytes_utf8": 1527, + "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": 770, + "bytes_utf8": 770, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16795, + "cached_input_tokens": 15744, + "output_tokens": 859, + "reasoning_output_tokens": 647 + } + }, + "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_bd3572cf7944c305/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..702fad72d4984db15fcb4291cbd10e476d4f9cb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/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=total_of_special_requests, measure_col=agent.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "total_of_special_requests", + "measure_col": "agent", + "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": 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}, 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_bd3572cf7944c305/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..323f155cf0f62905249365613c456fb8f63d864a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ef-638c-7731-b680-9c012df78d66"} +{"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 1993391, Requested 17430. Please try again in 324ms. 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 \\\"total_of_special_requests\\\", SUM(CAST(NULLIF(\\\"agent\\\", '') AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(\\\"agent\\\", '') IS NOT NULL\\n GROUP BY \\\"total_of_special_requests\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"total_of_special_requests\\\", 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 requested template with group_col=\\\"total_of_special_requests\\\" and measure_col=\\\"agent\\\"; casts \\\"agent\\\" to REAL and filters empty strings so the aggregation is stable in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16795,"cached_input_tokens":15744,"output_tokens":859,"reasoning_output_tokens":647}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..044856900f88cb2bdc9c7f84b8553c1cff552230 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"total_of_special_requests\", SUM(CAST(NULLIF(\"agent\", '') AS REAL)) AS \"group_value\"\n FROM \"m12\"\n WHERE NULLIF(\"agent\", '') IS NOT NULL\n GROUP BY \"total_of_special_requests\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"total_of_special_requests\", 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 requested template with group_col=\"total_of_special_requests\" and measure_col=\"agent\"; casts \"agent\" to REAL and filters empty strings so the aggregation is stable in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bd3572cf7944c305/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_bdbaafed349bb2f8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a8da5926ccdeec1796719110a0623e834133e93c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17088, "bytes_utf8": 17088, "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": 731, "bytes_utf8": 731, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16718, "cached_input_tokens": 15744, "output_tokens": 727, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b746a3e5c6c5f38a0a5f0b121feada8acb2d957 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/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_bdbaafed349bb2f8", + "api_calls": 0, + "input_tokens": 16718, + "cached_input_tokens": 15744, + "output_tokens": 727, + "total_tokens": 17445, + "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": 18484.99, + "sql_execution_elapsed_ms_total": 172.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/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_bdbaafed349bb2f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ff4644ec14de88ddb0fca408e954c3900d71699b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/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": "2026-05-19T15:45:06.157556+00:00", + "ended_at": "2026-05-19T15:45:24.642575+00:00", + "elapsed_ms": 18484.99, + "prompt_metrics": { + "chars": 17088, + "bytes_utf8": 17088, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1445, + "bytes_utf8": 1445, + "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": 731, + "bytes_utf8": 731, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16718, + "cached_input_tokens": 15744, + "output_tokens": 727, + "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_bdbaafed349bb2f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bb792744fa741102c76d57e60282d4911720674 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/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=stays_in_weekend_nights.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "stays_in_weekend_nights", + "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": "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_bdbaafed349bb2f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..008706ac0b0a1c882ae9f2b139b9e8d866ee6dea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e9-8571-76a2-a69e-be67897007ac"} +{"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 1998170, Requested 17353. Please try again in 465ms. 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(\\\"stays_in_weekend_nights\\\" AS INTEGER) AS \\\"stays_in_weekend_nights\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"stays_in_weekend_nights\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"stays_in_weekend_nights\\\" IS NOT NULL\\n AND \\\"stays_in_weekend_nights\\\" <> ''\\n)\\nSELECT \\\"stays_in_weekend_nights\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"stays_in_weekend_nights\\\" DESC;\",\"notes\":\"Uses the Quantile Tail Slice template with measure_col bound to \\\"stays_in_weekend_nights\\\" and num_tiles=10. Casts the TEXT column to INTEGER so the top decile is computed numerically rather than lexicographically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16718,"cached_input_tokens":15744,"output_tokens":727,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d17602e1050a610595b1f99a74625b9078047545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"stays_in_weekend_nights\" AS INTEGER) AS \"stays_in_weekend_nights\",\n NTILE(10) OVER (ORDER BY CAST(\"stays_in_weekend_nights\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"m12\"\n WHERE \"stays_in_weekend_nights\" IS NOT NULL\n AND \"stays_in_weekend_nights\" <> ''\n)\nSELECT \"stays_in_weekend_nights\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"stays_in_weekend_nights\" DESC;","notes":"Uses the Quantile Tail Slice template with measure_col bound to \"stays_in_weekend_nights\" and num_tiles=10. Casts the TEXT column to INTEGER so the top decile is computed numerically rather than lexicographically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdbaafed349bb2f8/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_bdda00784a862b0d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba2fcc43bec3e2001ea77dc05f01a1a983802971 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=market_segment. +Result preview: [{"market_segment": "Online TA", "row_count": 56477}, {"market_segment": "Offline TA/TO", "row_count": 24219}, {"market_segment": "Groups", "row_count": 19811}, {"market_segment": "Direct", "row_count": 12606}, {"market_segment": "Corporate", "row_count": 5295}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..623ed5413f736338d4554af1e5bf0f004df936c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/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: m12 +-- 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_m12_bdda00784a862b0d +-- problem_id: v2p_m12_07771e90546d07ec +-- realization_mode: agent +-- source_kind: agent +SELECT "market_segment", COUNT(*) AS "row_count" +FROM "m12" +GROUP BY "market_segment" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a26c0bb0c576349719798766821e38ee49734927 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/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_clickbench_group_count\nSELECT \"market_segment\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nGROUP BY \"market_segment\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"market_segment\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"market_segment\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"market_segment\", \"row_count\"], \"rows\": [{\"market_segment\": \"Online TA\", \"row_count\": 56477}, {\"market_segment\": \"Offline TA/TO\", \"row_count\": 24219}, {\"market_segment\": \"Groups\", \"row_count\": 19811}, {\"market_segment\": \"Direct\", \"row_count\": 12606}, {\"market_segment\": \"Corporate\", \"row_count\": 5295}, {\"market_segment\": \"Complementary\", \"row_count\": 743}, {\"market_segment\": \"Aviation\", \"row_count\": 237}, {\"market_segment\": \"Undefined\", \"row_count\": 2}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 62.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..36d83aaacbf92a9922a27b41e462b85f0d22d82c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:32:23.361701+00:00", + "ended_at": "2026-05-19T15:32:35.589707+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_bdda00784a862b0d", + "problem_id": "v2p_m12_07771e90546d07ec", + "dataset_id": "m12", + "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=market_segment.", + "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 + }, + "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=2", + "sql_variant_index=1/1", + "binding_index=13" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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/m12/sql/v2q_m12_bdda00784a862b0d.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5e9cc73d2cabd90c4c89ca4b3607ae0957d0b535 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:35.525264+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": 12154.48, "started_at": "2026-05-19T15:32:23.369715+00:00", "ended_at": "2026-05-19T15:32:35.524226+00:00", "prompt_metrics": {"chars": 16808, "bytes_utf8": 16808, "lines": 478, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c305e1145880e2c4daaa64c6d5d2a3b6c4c0426d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bdda00784a862b0d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_bf2c45772e627b11/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f426673d97ee88c00babab101ed2bb6f5b91b33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"babies": "1", "percentile_measure": 2.0}, {"babies": "2", "percentile_measure": 2.0}, {"babies": "0", "percentile_measure": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0b969016c2529e7d47c7d4d46ecba86524f1efcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/generated_sql.sql @@ -0,0 +1,69 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m12_bf2c45772e627b11 +-- problem_id: v2p_m12_cdd4fdf98fbe6cb0 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "babies", + CAST("booking_changes" AS REAL) AS "booking_changes_num" + FROM "m12" + WHERE "babies" IS NOT NULL + AND TRIM("babies") <> '' + AND "booking_changes" IS NOT NULL + AND TRIM("booking_changes") <> '' +), +"ordered" AS ( + SELECT + "babies", + "booking_changes_num", + ROW_NUMBER() OVER ( + PARTITION BY "babies" + ORDER BY "booking_changes_num" + ) AS "rn", + COUNT(*) OVER (PARTITION BY "babies") AS "n" + FROM "base" +), +"group_ranks" AS ( + SELECT DISTINCT + "babies", + "n", + (1.0 + (0.9 * ("n" - 1))) AS "rank_pos", + CAST((1.0 + (0.9 * ("n" - 1))) AS INTEGER) AS "lo_rank", + CASE + WHEN ABS((1.0 + (0.9 * ("n" - 1))) - CAST((1.0 + (0.9 * ("n" - 1))) AS INTEGER)) < 1e-12 + THEN CAST((1.0 + (0.9 * ("n" - 1))) AS INTEGER) + ELSE CAST((1.0 + (0.9 * ("n" - 1))) AS INTEGER) + 1 + END AS "hi_rank" + FROM "ordered" + WHERE "n" >= 5 +), +"picked" AS ( + SELECT + o."babies", + MAX(CASE WHEN o."rn" = g."lo_rank" THEN o."booking_changes_num" END) AS "lo_val", + MAX(CASE WHEN o."rn" = g."hi_rank" THEN o."booking_changes_num" END) AS "hi_val", + MAX(g."rank_pos") AS "rank_pos", + MAX(g."lo_rank") AS "lo_rank", + MAX(g."hi_rank") AS "hi_rank" + FROM "ordered" AS o + JOIN "group_ranks" AS g + ON o."babies" = g."babies" + GROUP BY o."babies" +) +SELECT + "babies", + CASE + WHEN "hi_rank" = "lo_rank" THEN "lo_val" + ELSE "lo_val" + (("rank_pos" - "lo_rank") * ("hi_val" - "lo_val")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a05398f3830a51fff9328f5fd3ae55ca7de63f16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"babies\", \"percentile_measure\"], \"rows\": [{\"babies\": \"1\", \"percentile_measure\": 2.0}, {\"babies\": \"2\", \"percentile_measure\": 2.0}, {\"babies\": \"0\", \"percentile_measure\": 1.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 488.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c1b8742726c9442ed3875c7e0dcec65516ec316c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:58:35.920858+00:00", + "ended_at": "2026-05-19T15:59:19.541654+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_bf2c45772e627b11", + "problem_id": "v2p_m12_cdd4fdf98fbe6cb0", + "dataset_id": "m12", + "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=babies, measure_col=booking_changes.", + "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 + }, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/sql/v2q_m12_bf2c45772e627b11.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0da6873e14d9aa9921f2e341bc42054b9445a03b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:39.072844+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": 3139.54, "started_at": "2026-05-19T15:58:35.932584+00:00", "ended_at": "2026-05-19T15:58:39.072155+00:00", "prompt_metrics": {"chars": 17077, "bytes_utf8": 17077, "lines": 480, "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\":\"019e40f5-e095-7121-87b1-83c3570fdb73\"}\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": "2026-05-19T15:59:19.051598+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": 38976.67, "started_at": "2026-05-19T15:58:40.073739+00:00", "ended_at": "2026-05-19T15:59:19.050437+00:00", "prompt_metrics": {"chars": 17077, "bytes_utf8": 17077, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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 I"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..13ff782a0f569870645f05d903e5eabbda5ec759 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bf2c45772e627b11/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_bfbf733312b6b830/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ab5fc6a7be44c070597f0fdcba61b61447b831a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"customer_type": "Transient-Party", "condition_rate": 0.06639070211749722}, {"customer_type": "Group", "condition_rate": 0.05025996533795494}, {"customer_type": "Transient", "condition_rate": 0.03990492450872083}, {"customer_type": "Contract", "condition_rate": 0.005397448478900883}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..89ec134020d3568955932cc27ac53d27970ce513 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/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: m12 +-- 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_m4_group_condition_rate +-- query_record_id: v2q_m12_bfbf733312b6b830 +-- problem_id: v2p_m12_511237cdc7f537ce +-- realization_mode: agent +-- source_kind: agent +SELECT "customer_type", + AVG(CASE WHEN "market_segment" = 'Corporate' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m12" +GROUP BY "customer_type" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b8de5dcbf35d20dd7d51d392785bf71395b598fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"customer_type\", \"condition_rate\"], \"rows\": [{\"customer_type\": \"Transient-Party\", \"condition_rate\": 0.06639070211749722}, {\"customer_type\": \"Group\", \"condition_rate\": 0.05025996533795494}, {\"customer_type\": \"Transient\", \"condition_rate\": 0.03990492450872083}, {\"customer_type\": \"Contract\", \"condition_rate\": 0.005397448478900883}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 70.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0d087dc54a016562a684031feeac5f07f1b8f1d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:03:45.657779+00:00", + "ended_at": "2026-05-19T16:03:56.029256+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_bfbf733312b6b830", + "problem_id": "v2p_m12_511237cdc7f537ce", + "dataset_id": "m12", + "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=customer_type, condition_col=market_segment.", + "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 + }, + "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=9", + "sql_variant_index=2/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/sql/v2q_m12_bfbf733312b6b830.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a7f78faf69d8e6f948da277675b24fc8e41386a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:55.956873+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": 10288.56, "started_at": "2026-05-19T16:03:45.667296+00:00", "ended_at": "2026-05-19T16:03:55.955886+00:00", "prompt_metrics": {"chars": 17184, "bytes_utf8": 17184, "lines": 483, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..14654e51c5d74d03a2bc41306e866c281dcf0a21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_bfbf733312b6b830/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_c0518b932eaf6713/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0162ac102830539b65eddc9ce5807c36134c5060 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/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": 707, "bytes_utf8": 707, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16868, "cached_input_tokens": 15744, "output_tokens": 626, "reasoning_output_tokens": 444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..369b2db3498e9358c591e9e6437bd9d215703408 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/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_c0518b932eaf6713", + "api_calls": 0, + "input_tokens": 16868, + "cached_input_tokens": 15744, + "output_tokens": 626, + "total_tokens": 17494, + "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": 17309.94, + "sql_execution_elapsed_ms_total": 80.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/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_c0518b932eaf6713/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5c7c592ec121433fe1a5afea1f1421622359a0c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/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": "2026-05-19T15:41:21.282731+00:00", + "ended_at": "2026-05-19T15:41:38.592699+00:00", + "elapsed_ms": 17309.94, + "prompt_metrics": { + "chars": 17741, + "bytes_utf8": 17741, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1409, + "bytes_utf8": 1409, + "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": 707, + "bytes_utf8": 707, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16868, + "cached_input_tokens": 15744, + "output_tokens": 626, + "reasoning_output_tokens": 444 + } + }, + "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_c0518b932eaf6713/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a296bfb7bac4c459aea5e2f3dfb84efcdb60425d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/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=market_segment, condition_col=total_of_special_requests.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "market_segment", + "condition_col": "total_of_special_requests", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": 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": "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_c0518b932eaf6713/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87484b74e0637015c73567ba8105bd70c27f570e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e6-1735-7fd3-817d-f6643cb79f6e"} +{"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 17503. Please try again in 525ms. 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_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"market_segment\\\",\\n SUM(CASE WHEN \\\"total_of_special_requests\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"total_of_special_requests\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m12\\\"\\n GROUP BY \\\"market_segment\\\"\\n)\\nSELECT \\\"market_segment\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the grouped ratio template with \\\"market_segment\\\" as the grouping column and compares \\\"total_of_special_requests\\\" = '0' against '1', matching the TEXT schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16868,"cached_input_tokens":15744,"output_tokens":626,"reasoning_output_tokens":444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..92b53be52ae03fdb76e7e5a15b9869990d045d9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"market_segment\",\n SUM(CASE WHEN \"total_of_special_requests\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"total_of_special_requests\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m12\"\n GROUP BY \"market_segment\"\n)\nSELECT \"market_segment\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the grouped ratio template with \"market_segment\" as the grouping column and compares \"total_of_special_requests\" = '0' against '1', matching the TEXT schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c0518b932eaf6713/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_c1d0fe53d0e7dc8b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e94f383b23c097e4eee8dc3a3e268a00f116b0ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/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": "2026-05-19T16:01:23.378522+00:00", + "ended_at": "2026-05-19T16:01:26.202634+00:00", + "elapsed_ms": 2824.08, + "returncode": 1, + "prompt_metrics": { + "chars": 17180, + "bytes_utf8": 17180, + "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_c1d0fe53d0e7dc8b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0d1bc576ceb416a165aea7e16afbdc13ed7cd79f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/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": "2026-05-19T16:01:27.205481+00:00", + "ended_at": "2026-05-19T16:01:30.275598+00:00", + "elapsed_ms": 3070.08, + "returncode": 1, + "prompt_metrics": { + "chars": 17180, + "bytes_utf8": 17180, + "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_c1d0fe53d0e7dc8b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..55cdb19f6f01c58e18b138b6a6fcf251e0a67fb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/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=reserved_room_type, condition_col=hotel.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "reserved_room_type", + "condition_col": "hotel", + "condition_value": "Resort Hotel", + "positive_value": "City Hotel", + "negative_value": "Resort Hotel", + "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": 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 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_c1d0fe53d0e7dc8b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..55cdb19f6f01c58e18b138b6a6fcf251e0a67fb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/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=reserved_room_type, condition_col=hotel.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "reserved_room_type", + "condition_col": "hotel", + "condition_value": "Resort Hotel", + "positive_value": "City Hotel", + "negative_value": "Resort Hotel", + "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": 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 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_c1d0fe53d0e7dc8b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8310f9abcc3a2620af944cd3ec08c0c1d98e0c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-6eba-7c40-ba23-bb380ca01880"} +{"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_c1d0fe53d0e7dc8b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..374730511b19d3a8b8e9482220dd698b3b41e138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-6eba-7c40-ba23-bb380ca01880"} +{"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_c1d0fe53d0e7dc8b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..326928a42d04e02c0a9c0e08664802f93b636a78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-7daf-70d1-ab9b-a6733c45a845"} +{"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_c1d0fe53d0e7dc8b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..56e55978c2d18db237c3f7eda48899a9370bbc84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-7daf-70d1-ab9b-a6733c45a845"} +{"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_c1d0fe53d0e7dc8b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/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_c1d0fe53d0e7dc8b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c1d0fe53d0e7dc8b/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_c3638451df527c9c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..10e2a7329deb8e2cca053add89e12a029ce6725f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"customer_type": "Transient", "total_rows": 89613, "missing_rows": 0, "missing_rate": 0.0}, {"customer_type": "Transient-Party", "total_rows": 25124, "missing_rows": 0, "missing_rate": 0.0}, {"customer_type": "Contract", "total_rows": 4076, "missing_rows": 0, "missing_rate": 0.0}, {"customer_type": "Group", "total_rows": 577, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cf5b7e502a8d3d5a0fb802da913606ff76c7574c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/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: m12 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m12_c3638451df527c9c +-- problem_id: v2p_m12_bde705544c4c8ff3 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "customer_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "country" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "country" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m12" +GROUP BY "customer_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..599a3f680a46c2f5cfd0a7f817166c90a69248d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/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: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m12_c3638451df527c9c\n-- problem_id: v2p_m12_bde705544c4c8ff3\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"customer_type\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"country\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"country\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"customer_type\"\nORDER BY missing_rate DESC, total_rows 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: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m12_c3638451df527c9c\\n-- problem_id: v2p_m12_bde705544c4c8ff3\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"customer_type\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"country\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"country\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"customer_type\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"customer_type\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"customer_type\": \"Transient\", \"total_rows\": 89613, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"customer_type\": \"Transient-Party\", \"total_rows\": 25124, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"customer_type\": \"Contract\", \"total_rows\": 4076, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"customer_type\": \"Group\", \"total_rows\": 577, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 57.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..055bf02015a8a33d604e80e70a0ef1ae9419fb7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:24.286277+00:00", + "ended_at": "2026-05-19T16:10:24.344691+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_c3638451df527c9c", + "problem_id": "v2p_m12_bde705544c4c8ff3", + "dataset_id": "m12", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=customer_type, missing_col=country.", + "bindings": { + "missing_col": "country", + "target_col": "customer_type" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "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/m12/sql/v2q_m12_c3638451df527c9c.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/m12/artifacts/v2q_m12_c3638451df527c9c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c3638451df527c9c/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/m12/artifacts/v2q_m12_c47798d5db3a0521/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..10e2a7329deb8e2cca053add89e12a029ce6725f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"customer_type": "Transient", "total_rows": 89613, "missing_rows": 0, "missing_rate": 0.0}, {"customer_type": "Transient-Party", "total_rows": 25124, "missing_rows": 0, "missing_rate": 0.0}, {"customer_type": "Contract", "total_rows": 4076, "missing_rows": 0, "missing_rate": 0.0}, {"customer_type": "Group", "total_rows": 577, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c9b44b4b2553cb495aaf03f2b18f922879f9538b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/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: m12 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_target_interaction +-- variant_semantic_role: missing_target_interaction +-- template_id: tpl_missing_target_interaction +-- query_record_id: v2q_m12_c47798d5db3a0521 +-- problem_id: v2p_m12_6f162381b4b7cb84 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "customer_type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "company" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "company" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m12" +GROUP BY "customer_type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2cb108f50c3903b2d8b58a271ebfd7e2028dba2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/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: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_target_interaction\n-- variant_semantic_role: missing_target_interaction\n-- template_id: tpl_missing_target_interaction\n-- query_record_id: v2q_m12_c47798d5db3a0521\n-- problem_id: v2p_m12_6f162381b4b7cb84\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"customer_type\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"company\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"company\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"customer_type\"\nORDER BY missing_rate DESC, total_rows 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: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_target_interaction\\n-- variant_semantic_role: missing_target_interaction\\n-- template_id: tpl_missing_target_interaction\\n-- query_record_id: v2q_m12_c47798d5db3a0521\\n-- problem_id: v2p_m12_6f162381b4b7cb84\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"customer_type\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"company\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"company\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"customer_type\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"customer_type\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"customer_type\": \"Transient\", \"total_rows\": 89613, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"customer_type\": \"Transient-Party\", \"total_rows\": 25124, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"customer_type\": \"Contract\", \"total_rows\": 4076, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"customer_type\": \"Group\", \"total_rows\": 577, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 59.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fff27aa1d11bf53e8cf223caf2bc87558867bb63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:24.657288+00:00", + "ended_at": "2026-05-19T16:10:24.717513+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_c47798d5db3a0521", + "problem_id": "v2p_m12_6f162381b4b7cb84", + "dataset_id": "m12", + "template_id": "tpl_missing_target_interaction", + "template_name": "Missingness-Target Interaction", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_target_interaction", + "variant_semantic_role": "missing_target_interaction", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missingness-Target Interaction to probe co_missingness_pattern_consistency with semantic role missing_target_interaction. Focus on target_col=customer_type, missing_col=company.", + "bindings": { + "missing_col": "company", + "target_col": "customer_type" + }, + "binding_roles": [ + "missing_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {target_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {target_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "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/m12/sql/v2q_m12_c47798d5db3a0521.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/m12/artifacts/v2q_m12_c47798d5db3a0521/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c47798d5db3a0521/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/m12/artifacts/v2q_m12_c584bea4cb45ded2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..37f7fbf4b64a4cfa1e324ae5bd2e7dcba50acce7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/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=arrival_date_week_number, measure_col=stays_in_week_nights. +Result preview: [{"arrival_date_week_number": "33", "total_measure": 9685}, {"arrival_date_week_number": "32", "total_measure": 8930}, {"arrival_date_week_number": "30", "total_measure": 8593}, {"arrival_date_week_number": "34", "total_measure": 8548}, {"arrival_date_week_number": "28", "total_measure": 8042}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a7d69c14933fe36c98fa475d96e4127d08f9be02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/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: m12 +-- 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_m12_c584bea4cb45ded2 +-- problem_id: v2p_m12_0f02b5f8a3d95d25 +-- realization_mode: agent +-- source_kind: agent +SELECT + "arrival_date_week_number", + SUM(CAST("stays_in_week_nights" AS INTEGER)) AS "total_measure" +FROM "m12" +GROUP BY "arrival_date_week_number" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..10c87367bb80eca2fae885eced6f6776ae07e539 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/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\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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"arrival_date_week_number\", \"total_measure\"], \"rows\": [{\"arrival_date_week_number\": \"33\", \"total_measure\": 9685}, {\"arrival_date_week_number\": \"32\", \"total_measure\": 8930}, {\"arrival_date_week_number\": \"30\", \"total_measure\": 8593}, {\"arrival_date_week_number\": \"34\", \"total_measure\": 8548}, {\"arrival_date_week_number\": \"28\", \"total_measure\": 8042}, {\"arrival_date_week_number\": \"29\", \"total_measure\": 7956}, {\"arrival_date_week_number\": \"31\", \"total_measure\": 7891}, {\"arrival_date_week_number\": \"27\", \"total_measure\": 7555}, {\"arrival_date_week_number\": \"18\", \"total_measure\": 7352}, {\"arrival_date_week_number\": \"35\", \"total_measure\": 7314}, {\"arrival_date_week_number\": \"25\", \"total_measure\": 7234}, {\"arrival_date_week_number\": \"23\", \"total_measure\": 6824}, {\"arrival_date_week_number\": \"24\", \"total_measure\": 6596}, {\"arrival_date_week_number\": \"20\", \"total_measure\": 6496}, {\"arrival_date_week_number\": \"17\", \"total_measure\": 6478}, {\"arrival_date_week_number\": \"41\", \"total_measure\": 6459}, {\"arrival_date_week_number\": \"21\", \"total_measure\": 6459}, {\"arrival_date_week_number\": \"38\", \"total_measure\": 6313}, {\"arrival_date_week_number\": \"22\", \"total_measure\": 6265}, {\"arrival_date_week_number\": \"15\", \"total_measure\": 6254}, {\"arrival_date_week_number\": \"39\", \"total_measure\": 6250}, {\"arrival_date_week_number\": \"26\", \"total_measure\": 6130}, {\"arrival_date_week_number\": \"19\", \"total_measure\": 6110}, {\"arrival_date_week_number\": \"16\", \"total_measure\": 6099}, {\"arrival_date_week_number\": \"36\", \"total_measure\": 6079}, {\"arrival_date_week_number\": \"37\", \"total_measure\": 5910}, {\"arrival_date_week_number\": \"14\", \"total_measure\": 5898}, {\"arrival_date_week_number\": \"40\", \"total_measure\": 5733}, {\"arrival_date_week_number\": \"42\", \"total_measure\": 5732}, {\"arrival_date_week_number\": \"13\", \"total_measure\": 5579}, {\"arrival_date_week_number\": \"43\", \"total_measure\": 5485}, {\"arrival_date_week_number\": \"10\", \"total_measure\": 5473}, {\"arrival_date_week_number\": \"9\", \"total_measure\": 5437}, {\"arrival_date_week_number\": \"11\", \"total_measure\": 5337}, {\"arrival_date_week_number\": \"45\", \"total_measure\": 5176}, {\"arrival_date_week_number\": \"53\", \"total_measure\": 5047}, {\"arrival_date_week_number\": \"12\", \"total_measure\": 4959}, {\"arrival_date_week_number\": \"44\", \"total_measure\": 4933}, {\"arrival_date_week_number\": \"8\", \"total_measure\": 4581}, {\"arrival_date_week_number\": \"7\", \"total_measure\": 4535}, {\"arrival_date_week_number\": \"47\", \"total_measure\": 4073}, {\"arrival_date_week_number\": \"46\", \"total_measure\": 3766}, {\"arrival_date_week_number\": \"6\", \"total_measure\": 3594}, {\"arrival_date_week_number\": \"49\", \"total_measure\": 3406}, {\"arrival_date_week_number\": \"52\", \"total_measure\": 3315}, {\"arrival_date_week_number\": \"50\", \"total_measure\": 3253}, {\"arrival_date_week_number\": \"3\", \"total_measure\": 3167}, {\"arrival_date_week_number\": \"4\", \"total_measure\": 3104}, {\"arrival_date_week_number\": \"48\", \"total_measure\": 3090}, {\"arrival_date_week_number\": \"5\", \"total_measure\": 3054}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 74.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9629d824cef5c836fbc42f83c47e7e8615770cd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:30:24.710568+00:00", + "ended_at": "2026-05-19T15:30:36.259477+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_c584bea4cb45ded2", + "problem_id": "v2p_m12_0f02b5f8a3d95d25", + "dataset_id": "m12", + "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=arrival_date_week_number, measure_col=stays_in_week_nights.", + "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 + }, + "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=2/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "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/m12/sql/v2q_m12_c584bea4cb45ded2.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..174aaafb4fbef99c5fda03e5e99cd0bb25d528d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:36.182228+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": 11462.48, "started_at": "2026-05-19T15:30:24.718822+00:00", "ended_at": "2026-05-19T15:30:36.181327+00:00", "prompt_metrics": {"chars": 16946, "bytes_utf8": 16946, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8b031d3987323525b5a668783ab25f30ff41f4ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c584bea4cb45ded2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_c705dc4c41556ce1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0e2ed5c1f60f8296c6d3b83889ae139c27243116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:01:48.230497+00:00", + "ended_at": "2026-05-19T16:01:55.224977+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_c705dc4c41556ce1", + "problem_id": "v2p_m12_12350074e4b0f322", + "dataset_id": "m12", + "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": "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 dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=booking_changes, condition_col=arrival_date_year.", + "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 + }, + "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=5", + "sql_variant_index=1/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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/m12/artifacts/v2q_m12_c705dc4c41556ce1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4befdc369b3cc0f1731f610d3b598e5636019c03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c705dc4c41556ce1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:50.928309+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": 2689.12, "started_at": "2026-05-19T16:01:48.238376+00:00", "ended_at": "2026-05-19T16:01:50.927516+00:00", "prompt_metrics": {"chars": 17179, "bytes_utf8": 17179, "lines": 483, "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-cfe7-7bd2-bb9c-0ca9e2063447\"}\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": "2026-05-19T16:01:55.224885+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": 3294.54, "started_at": "2026-05-19T16:01:51.929523+00:00", "ended_at": "2026-05-19T16:01:55.224092+00:00", "prompt_metrics": {"chars": 17179, "bytes_utf8": 17179, "lines": 483, "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-de35-7610-a4cb-b898993b1fe8\"}\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/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a4d40ea2f6cabc2fb8942ea14eaf918f5b33c4a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/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": "2026-05-19T16:09:50.634308+00:00", + "ended_at": "2026-05-19T16:09:55.561700+00:00", + "elapsed_ms": 4927.36, + "returncode": 1, + "prompt_metrics": { + "chars": 17022, + "bytes_utf8": 17022, + "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_c8c97b30261b51e1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5c38ab15faf0d1b7fc6d23d45bf1bd7985b9d837 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/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": "2026-05-19T16:09:56.564215+00:00", + "ended_at": "2026-05-19T16:09:59.748780+00:00", + "elapsed_ms": 3184.52, + "returncode": 1, + "prompt_metrics": { + "chars": 17022, + "bytes_utf8": 17022, + "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_c8c97b30261b51e1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b180ac020fd62e362fd12ce7c70a82d35987fc7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/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=arrival_date_month, measure_col=total_of_special_requests.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_month", + "measure_col": "total_of_special_requests", + "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": 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_c8c97b30261b51e1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b180ac020fd62e362fd12ce7c70a82d35987fc7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/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=arrival_date_month, measure_col=total_of_special_requests.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "arrival_date_month", + "measure_col": "total_of_special_requests", + "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": 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_c8c97b30261b51e1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..960b6f1297f12d342ddac68baca9bb16780c20bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-2c34-7731-b894-38b347cde737"} +{"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_c8c97b30261b51e1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7939b61e79affb08b98ae1baaf2559fd215cf734 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-2c34-7731-b894-38b347cde737"} +{"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_c8c97b30261b51e1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2095cd2c9131a71ed7f33fbfaba2b3dcb2235973 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4354-7a32-8fd4-07157655d09e"} +{"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_c8c97b30261b51e1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb1cf502c4a7cffe5936d7a0ff42f5a00202c422 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e4100-4354-7a32-8fd4-07157655d09e"} +{"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_c8c97b30261b51e1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/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_c8c97b30261b51e1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c8c97b30261b51e1/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_c91f005fa868c824/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ded2c500ce9c73e9ae2e7221dac35adaeeae525 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/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=arrival_date_week_number, measure_col=stays_in_weekend_nights. +Result preview: [{"arrival_date_week_number": "29", "days_in_waiting_list": "0", "total_measure": 3119.0, "share_within_group": 100.0}, {"arrival_date_week_number": "31", "days_in_waiting_list": "0", "total_measure": 3068.0, "share_within_group": 100.0}, {"arrival_date_week_number": "32", "days_in_waiting_list": "0", "total_measure": 3444.0, "share_within_group": 100.0}, {"arrival_date_week_number": "33", "days_in_waiting_list": "0", "total_measure": 3553.0, "share_within_group": 100.0}, {"arrival_date_week_number": "34", "days_in_waiting_list": "0", "total_measure": 3294.0, "share_within_group": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c84b3aaff76dadbed05fb5f3e14d58a4b27fd555 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/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: m12 +-- 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_m12_c91f005fa868c824 +-- problem_id: v2p_m12_342fae5d804e1e02 +-- realization_mode: agent +-- source_kind: agent +SELECT + "arrival_date_week_number", + "days_in_waiting_list", + SUM(CAST("stays_in_weekend_nights" AS REAL)) AS "total_measure", + 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" +FROM "m12" +GROUP BY "arrival_date_week_number", "days_in_waiting_list" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af6d9636b5d373a4b09ff0f3c365ccc61456ecd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/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\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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"arrival_date_week_number\", \"days_in_waiting_list\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"arrival_date_week_number\": \"29\", \"days_in_waiting_list\": \"0\", \"total_measure\": 3119.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"31\", \"days_in_waiting_list\": \"0\", \"total_measure\": 3068.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"32\", \"days_in_waiting_list\": \"0\", \"total_measure\": 3444.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"33\", \"days_in_waiting_list\": \"0\", \"total_measure\": 3553.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"34\", \"days_in_waiting_list\": \"0\", \"total_measure\": 3294.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"35\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2659.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"36\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2403.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"48\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1101.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"50\", \"days_in_waiting_list\": \"0\", \"total_measure\": 807.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"51\", \"days_in_waiting_list\": \"0\", \"total_measure\": 673.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"52\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1453.0, \"share_within_group\": 100.0}, {\"arrival_date_week_number\": \"46\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1411.0, \"share_within_group\": 99.92917847025495}, {\"arrival_date_week_number\": \"27\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2829.0, \"share_within_group\": 99.89406779661017}, {\"arrival_date_week_number\": \"6\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1432.0, \"share_within_group\": 99.860529986053}, {\"arrival_date_week_number\": \"28\", \"days_in_waiting_list\": \"0\", \"total_measure\": 3244.0, \"share_within_group\": 99.78468163641956}, {\"arrival_date_week_number\": \"22\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2159.0, \"share_within_group\": 99.76894639556377}, {\"arrival_date_week_number\": \"30\", \"days_in_waiting_list\": \"0\", \"total_measure\": 3288.0, \"share_within_group\": 99.7270245677889}, {\"arrival_date_week_number\": \"8\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1549.0, \"share_within_group\": 99.67824967824968}, {\"arrival_date_week_number\": \"14\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1819.0, \"share_within_group\": 99.61664841182913}, {\"arrival_date_week_number\": \"7\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1734.0, \"share_within_group\": 99.59793222286042}, {\"arrival_date_week_number\": \"37\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2219.0, \"share_within_group\": 99.3730407523511}, {\"arrival_date_week_number\": \"12\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1866.0, \"share_within_group\": 99.14984059511158}, {\"arrival_date_week_number\": \"16\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2199.0, \"share_within_group\": 99.14337240757439}, {\"arrival_date_week_number\": \"3\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1032.0, \"share_within_group\": 99.13544668587896}, {\"arrival_date_week_number\": \"11\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1731.0, \"share_within_group\": 99.08414424728106}, {\"arrival_date_week_number\": \"25\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2411.0, \"share_within_group\": 98.93311448502257}, {\"arrival_date_week_number\": \"24\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2426.0, \"share_within_group\": 98.89930697105585}, {\"arrival_date_week_number\": \"45\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1725.0, \"share_within_group\": 98.74069834001145}, {\"arrival_date_week_number\": \"43\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2157.0, \"share_within_group\": 98.67337602927722}, {\"arrival_date_week_number\": \"21\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2206.0, \"share_within_group\": 98.57015192135836}, {\"arrival_date_week_number\": \"4\", \"days_in_waiting_list\": \"0\", \"total_measure\": 893.0, \"share_within_group\": 98.56512141280353}, {\"arrival_date_week_number\": \"39\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2647.0, \"share_within_group\": 98.47470238095238}, {\"arrival_date_week_number\": \"26\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2196.0, \"share_within_group\": 98.12332439678285}, {\"arrival_date_week_number\": \"10\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2065.0, \"share_within_group\": 97.91370317686108}, {\"arrival_date_week_number\": \"23\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2257.0, \"share_within_group\": 97.7056277056277}, {\"arrival_date_week_number\": \"38\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1982.0, \"share_within_group\": 97.6835879743716}, {\"arrival_date_week_number\": \"15\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2541.0, \"share_within_group\": 97.54318618042227}, {\"arrival_date_week_number\": \"19\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2057.0, \"share_within_group\": 97.44197063003315}, {\"arrival_date_week_number\": \"49\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1872.0, \"share_within_group\": 97.29729729729729}, {\"arrival_date_week_number\": \"18\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2542.0, \"share_within_group\": 97.24560061208875}, {\"arrival_date_week_number\": \"53\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1398.0, \"share_within_group\": 96.9486823855756}, {\"arrival_date_week_number\": \"2\", \"days_in_waiting_list\": \"0\", \"total_measure\": 917.0, \"share_within_group\": 96.62802950474183}, {\"arrival_date_week_number\": \"17\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2605.0, \"share_within_group\": 96.51722860318637}, {\"arrival_date_week_number\": \"5\", \"days_in_waiting_list\": \"0\", \"total_measure\": 907.0, \"share_within_group\": 96.48936170212765}, {\"arrival_date_week_number\": \"20\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2603.0, \"share_within_group\": 96.3360473723168}, {\"arrival_date_week_number\": \"41\", \"days_in_waiting_list\": \"0\", \"total_measure\": 2408.0, \"share_within_group\": 96.08938547486034}, {\"arrival_date_week_number\": \"47\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1170.0, \"share_within_group\": 95.51020408163265}, {\"arrival_date_week_number\": \"1\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1024.0, \"share_within_group\": 95.34450651769087}, {\"arrival_date_week_number\": \"9\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1872.0, \"share_within_group\": 95.31568228105907}, {\"arrival_date_week_number\": \"42\", \"days_in_waiting_list\": \"0\", \"total_measure\": 1769.0, \"share_within_group\": 95.00537056928034}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 79.27}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ef84465378087144e3e2b0d0913e63fdda6894db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:38:49.901049+00:00", + "ended_at": "2026-05-19T15:39:10.419226+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_c91f005fa868c824", + "problem_id": "v2p_m12_342fae5d804e1e02", + "dataset_id": "m12", + "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=arrival_date_week_number, measure_col=stays_in_weekend_nights.", + "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 + }, + "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=9", + "sql_variant_index=2/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/sql/v2q_m12_c91f005fa868c824.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d362b14c6aa276a252be331392c53a8759ddc49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:10.337909+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": 20427.41, "started_at": "2026-05-19T15:38:49.909610+00:00", "ended_at": "2026-05-19T15:39:10.337056+00:00", "prompt_metrics": {"chars": 17369, "bytes_utf8": 17369, "lines": 482, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f771bb143ec7c6c9715bbb181ba5847b1f362e21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c91f005fa868c824/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_c92974f4203c466d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0d6fcdf14a5a42dfe97362875c0eb24b5a1bef2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"previous_bookings_not_canceled": "0", "support": 115770, "avg_response": 2016.1518096225275}, {"previous_bookings_not_canceled": "1", "support": 1542, "avg_response": 2016.269130998703}, {"previous_bookings_not_canceled": "2", "support": 580, "avg_response": 2016.2948275862068}, {"previous_bookings_not_canceled": "3", "support": 333, "avg_response": 2016.2822822822823}, {"previous_bookings_not_canceled": "4", "support": 229, "avg_response": 2016.301310043668}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0b72e201f449e8b65692955459c827b45654e53c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/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: m12 +-- 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_m12_c92974f4203c466d +-- problem_id: v2p_m12_3e1c8584196925e9 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "previous_bookings_not_canceled", + COUNT(*) AS support, + AVG("arrival_date_year") AS avg_response +FROM "m12" +GROUP BY "previous_bookings_not_canceled" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c6755b6519dec6d810aeca6d2b3f41667d48aa27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/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: m12\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_m12_c92974f4203c466d\n-- problem_id: v2p_m12_3e1c8584196925e9\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"previous_bookings_not_canceled\",\n COUNT(*) AS support,\n AVG(\"arrival_date_year\") AS avg_response\nFROM \"m12\"\nGROUP BY \"previous_bookings_not_canceled\"\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: m12\\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_m12_c92974f4203c466d\\n-- problem_id: v2p_m12_3e1c8584196925e9\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"previous_bookings_not_canceled\\\",\\n COUNT(*) AS support,\\n AVG(\\\"arrival_date_year\\\") AS avg_response\\nFROM \\\"m12\\\"\\nGROUP BY \\\"previous_bookings_not_canceled\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"previous_bookings_not_canceled\", \"support\", \"avg_response\"], \"rows\": [{\"previous_bookings_not_canceled\": \"0\", \"support\": 115770, \"avg_response\": 2016.1518096225275}, {\"previous_bookings_not_canceled\": \"1\", \"support\": 1542, \"avg_response\": 2016.269130998703}, {\"previous_bookings_not_canceled\": \"2\", \"support\": 580, \"avg_response\": 2016.2948275862068}, {\"previous_bookings_not_canceled\": \"3\", \"support\": 333, \"avg_response\": 2016.2822822822823}, {\"previous_bookings_not_canceled\": \"4\", \"support\": 229, \"avg_response\": 2016.301310043668}, {\"previous_bookings_not_canceled\": \"5\", \"support\": 181, \"avg_response\": 2016.2707182320441}, {\"previous_bookings_not_canceled\": \"6\", \"support\": 115, \"avg_response\": 2016.3391304347826}, {\"previous_bookings_not_canceled\": \"7\", \"support\": 88, \"avg_response\": 2016.375}, {\"previous_bookings_not_canceled\": \"8\", \"support\": 70, \"avg_response\": 2016.3714285714286}, {\"previous_bookings_not_canceled\": \"9\", \"support\": 60, \"avg_response\": 2016.45}, {\"previous_bookings_not_canceled\": \"10\", \"support\": 53, \"avg_response\": 2016.5094339622642}, {\"previous_bookings_not_canceled\": \"11\", \"support\": 43, \"avg_response\": 2016.4883720930231}, {\"previous_bookings_not_canceled\": \"12\", \"support\": 37, \"avg_response\": 2016.5405405405406}, {\"previous_bookings_not_canceled\": \"13\", \"support\": 30, \"avg_response\": 2016.6}, {\"previous_bookings_not_canceled\": \"14\", \"support\": 28, \"avg_response\": 2016.5357142857142}, {\"previous_bookings_not_canceled\": \"15\", \"support\": 21, \"avg_response\": 2016.4761904761904}, {\"previous_bookings_not_canceled\": \"16\", \"support\": 20, \"avg_response\": 2016.5}, {\"previous_bookings_not_canceled\": \"25\", \"support\": 17, \"avg_response\": 2016.3529411764705}, {\"previous_bookings_not_canceled\": \"17\", \"support\": 16, \"avg_response\": 2016.4375}, {\"previous_bookings_not_canceled\": \"18\", \"support\": 14, \"avg_response\": 2016.357142857143}, {\"previous_bookings_not_canceled\": \"19\", \"support\": 13, \"avg_response\": 2016.3846153846155}, {\"previous_bookings_not_canceled\": \"20\", \"support\": 12, \"avg_response\": 2016.25}, {\"previous_bookings_not_canceled\": \"21\", \"support\": 12, \"avg_response\": 2016.25}, {\"previous_bookings_not_canceled\": \"22\", \"support\": 10, \"avg_response\": 2016.1}, {\"previous_bookings_not_canceled\": \"24\", \"support\": 9, \"avg_response\": 2016.5555555555557}, {\"previous_bookings_not_canceled\": \"27\", \"support\": 9, \"avg_response\": 2016.5555555555557}, {\"previous_bookings_not_canceled\": \"26\", \"support\": 7, \"avg_response\": 2016.7142857142858}, {\"previous_bookings_not_canceled\": \"28\", \"support\": 7, \"avg_response\": 2016.5714285714287}, {\"previous_bookings_not_canceled\": \"23\", \"support\": 7, \"avg_response\": 2016.4285714285713}, {\"previous_bookings_not_canceled\": \"29\", \"support\": 6, \"avg_response\": 2016.5}], \"row_count_returned\": 30, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 53.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6cf9f5d21bd7f9f0ab8b9db3834c88c97b0d32fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:26.326840+00:00", + "ended_at": "2026-05-19T16:10:26.381135+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_c92974f4203c466d", + "problem_id": "v2p_m12_3e1c8584196925e9", + "dataset_id": "m12", + "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=arrival_date_year, key_col=previous_bookings_not_canceled.", + "bindings": { + "key_col": "previous_bookings_not_canceled", + "measure_col": "arrival_date_year", + "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=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "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/m12/sql/v2q_m12_c92974f4203c466d.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/m12/artifacts/v2q_m12_c92974f4203c466d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c92974f4203c466d/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/m12/artifacts/v2q_m12_c9c14c649cfa07fb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f47c1bada39800bd1561ada5266961f99c96729d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=meal. +Result preview: [{"meal": "BB", "row_count": 92310}, {"meal": "HB", "row_count": 14463}, {"meal": "SC", "row_count": 10650}, {"meal": "Undefined", "row_count": 1169}, {"meal": "FB", "row_count": 798}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..452c58716c9015728bec572733003984bc9f1945 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/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: m12 +-- 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_m12_c9c14c649cfa07fb +-- problem_id: v2p_m12_ecb336032305c633 +-- realization_mode: agent +-- source_kind: agent +SELECT "meal", COUNT(*) AS "row_count" +FROM "m12" +GROUP BY "meal" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cdb7c7833b4d4da6425958ff6d3e0ee2d15149d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/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_clickbench_group_count\nSELECT \"meal\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nGROUP BY \"meal\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"meal\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"meal\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"meal\", \"row_count\"], \"rows\": [{\"meal\": \"BB\", \"row_count\": 92310}, {\"meal\": \"HB\", \"row_count\": 14463}, {\"meal\": \"SC\", \"row_count\": 10650}, {\"meal\": \"Undefined\", \"row_count\": 1169}, {\"meal\": \"FB\", \"row_count\": 798}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 60.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d98a36cd521767425b95126aec128ea61087030a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:32:14.724894+00:00", + "ended_at": "2026-05-19T15:32:23.361207+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_c9c14c649cfa07fb", + "problem_id": "v2p_m12_ecb336032305c633", + "dataset_id": "m12", + "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=meal.", + "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 + }, + "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=1", + "sql_variant_index=1/1", + "binding_index=12" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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/m12/sql/v2q_m12_c9c14c649cfa07fb.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..86fe4ff89126da63a0d0c2ea5b8cb3ace0b8e558 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:23.299107+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": 8565.94, "started_at": "2026-05-19T15:32:14.731934+00:00", "ended_at": "2026-05-19T15:32:23.297904+00:00", "prompt_metrics": {"chars": 16791, "bytes_utf8": 16791, "lines": 478, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..971747460bc9b2d8e1a827748644282c5d037907 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_c9c14c649cfa07fb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_ca86395ad57aeb97/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..011540372a2c380e9cf8e8878400829cee826121 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"stays_in_weekend_nights": "19", "percentile_measure": 19.0}, {"stays_in_weekend_nights": "18", "percentile_measure": 18.0}, {"stays_in_weekend_nights": "16", "percentile_measure": 16.0}, {"stays_in_weekend_nights": "14", "percentile_measure": 14.0}, {"stays_in_weekend_nights": "13", "percentile_measure": 13.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..860320e3c36f960881afdd822adf6f4c1e0b8058 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/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: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m12_ca86395ad57aeb97 +-- problem_id: v2p_m12_f1b5ab68365bb880 +-- realization_mode: agent +-- source_kind: agent +SELECT + "stays_in_weekend_nights", + MAX(CAST("stays_in_weekend_nights" AS REAL)) AS percentile_measure +FROM "m12" +WHERE "stays_in_weekend_nights" IS NOT NULL + AND "stays_in_weekend_nights" <> '' +GROUP BY "stays_in_weekend_nights" +ORDER BY percentile_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb0b1c6d1f3bfdf763a455055787a1007adb22c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"stays_in_weekend_nights\", \"percentile_measure\"], \"rows\": [{\"stays_in_weekend_nights\": \"19\", \"percentile_measure\": 19.0}, {\"stays_in_weekend_nights\": \"18\", \"percentile_measure\": 18.0}, {\"stays_in_weekend_nights\": \"16\", \"percentile_measure\": 16.0}, {\"stays_in_weekend_nights\": \"14\", \"percentile_measure\": 14.0}, {\"stays_in_weekend_nights\": \"13\", \"percentile_measure\": 13.0}, {\"stays_in_weekend_nights\": \"12\", \"percentile_measure\": 12.0}, {\"stays_in_weekend_nights\": \"10\", \"percentile_measure\": 10.0}, {\"stays_in_weekend_nights\": \"9\", \"percentile_measure\": 9.0}, {\"stays_in_weekend_nights\": \"8\", \"percentile_measure\": 8.0}, {\"stays_in_weekend_nights\": \"7\", \"percentile_measure\": 7.0}, {\"stays_in_weekend_nights\": \"6\", \"percentile_measure\": 6.0}, {\"stays_in_weekend_nights\": \"5\", \"percentile_measure\": 5.0}, {\"stays_in_weekend_nights\": \"4\", \"percentile_measure\": 4.0}, {\"stays_in_weekend_nights\": \"3\", \"percentile_measure\": 3.0}, {\"stays_in_weekend_nights\": \"2\", \"percentile_measure\": 2.0}, {\"stays_in_weekend_nights\": \"1\", \"percentile_measure\": 1.0}, {\"stays_in_weekend_nights\": \"0\", \"percentile_measure\": 0.0}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 56.14}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4a8508020c911e5be5eb6ad3c018419dee9fc8e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:56:02.663412+00:00", + "ended_at": "2026-05-19T15:56:16.647563+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_ca86395ad57aeb97", + "problem_id": "v2p_m12_f1b5ab68365bb880", + "dataset_id": "m12", + "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=stays_in_weekend_nights, measure_col=stays_in_weekend_nights.", + "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 + }, + "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/sql/v2q_m12_ca86395ad57aeb97.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0754acb790c60600e66850be69d26912385698bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:16.589392+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": 13916.58, "started_at": "2026-05-19T15:56:02.671872+00:00", "ended_at": "2026-05-19T15:56:16.588486+00:00", "prompt_metrics": {"chars": 17126, "bytes_utf8": 17126, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2da5fb663e291e90962001832e1cbbcf17183b3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ca86395ad57aeb97/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_cbc1188c1209ae6c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d01bd90ef29d9001a8c6d37dfef955de94bc8e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"hotel": "City Hotel", "total_rows": 79330, "missing_rows": 0, "missing_rate": 0.0}, {"hotel": "Resort Hotel", "total_rows": 40060, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8d3146cfae8c813f094a9e3bea3762ac87bbfa27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/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: m12 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_m12_cbc1188c1209ae6c +-- problem_id: v2p_m12_6296eff449a74cc1 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "hotel", + COUNT(*) AS total_rows, + SUM(CASE WHEN "agent" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "agent" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "m12" +GROUP BY "hotel" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a1367f15b71fbe07652e3de8384c6ac99d9c918e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/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: m12\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_m12_cbc1188c1209ae6c\n-- problem_id: v2p_m12_6296eff449a74cc1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"hotel\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"agent\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"agent\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"m12\"\nGROUP BY \"hotel\"\nORDER BY missing_rate DESC, total_rows 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: m12\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_m12_cbc1188c1209ae6c\\n-- problem_id: v2p_m12_6296eff449a74cc1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"hotel\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"agent\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"agent\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"m12\\\"\\nGROUP BY \\\"hotel\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"hotel\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"hotel\": \"City Hotel\", \"total_rows\": 79330, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"hotel\": \"Resort Hotel\", \"total_rows\": 40060, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 53.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9451362eabad86a4f5aaa1553382c6c03e94f61b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:23.764700+00:00", + "ended_at": "2026-05-19T16:10:23.819472+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_cbc1188c1209ae6c", + "problem_id": "v2p_m12_6296eff449a74cc1", + "dataset_id": "m12", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=hotel, missing_col=agent.", + "bindings": { + "missing_col": "agent", + "group_col": "hotel" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "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/m12/sql/v2q_m12_cbc1188c1209ae6c.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/m12/artifacts/v2q_m12_cbc1188c1209ae6c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cbc1188c1209ae6c/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/m12/artifacts/v2q_m12_cc557b0b39c81e50/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ad4fa9ad6a2ad2f1cd06124d8ef56ddd1680890 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"adr": "62", "support": 3754, "avg_response": 270.48082045817796}, {"adr": "75", "support": 2715, "avg_response": 83.7841620626151}, {"adr": "90", "support": 2473, "avg_response": 171.26405175899717}, {"adr": "65", "support": 2418, "avg_response": 101.595947063689}, {"adr": "0", "support": 1959, "avg_response": 39.64982133741705}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bcb3af9c3aa331d7310ef76668584f6d172d175a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/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: m12 +-- 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_m12_cc557b0b39c81e50 +-- problem_id: v2p_m12_813fa57908e14f02 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "adr", + COUNT(*) AS support, + AVG("lead_time") AS avg_response +FROM "m12" +GROUP BY "adr" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad2fd8756a28b6f3fc7fb096cd68ec4760b1af29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/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: m12\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_m12_cc557b0b39c81e50\n-- problem_id: v2p_m12_813fa57908e14f02\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"adr\",\n COUNT(*) AS support,\n AVG(\"lead_time\") AS avg_response\nFROM \"m12\"\nGROUP BY \"adr\"\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: m12\\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_m12_cc557b0b39c81e50\\n-- problem_id: v2p_m12_813fa57908e14f02\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"adr\\\",\\n COUNT(*) AS support,\\n AVG(\\\"lead_time\\\") AS avg_response\\nFROM \\\"m12\\\"\\nGROUP BY \\\"adr\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"adr\", \"support\", \"avg_response\"], \"rows\": [{\"adr\": \"62\", \"support\": 3754, \"avg_response\": 270.48082045817796}, {\"adr\": \"75\", \"support\": 2715, \"avg_response\": 83.7841620626151}, {\"adr\": \"90\", \"support\": 2473, \"avg_response\": 171.26405175899717}, {\"adr\": \"65\", \"support\": 2418, \"avg_response\": 101.595947063689}, {\"adr\": \"0\", \"support\": 1959, \"avg_response\": 39.64982133741705}, {\"adr\": \"80\", \"support\": 1889, \"avg_response\": 111.24139756484912}, {\"adr\": \"95\", \"support\": 1661, \"avg_response\": 78.10596026490066}, {\"adr\": \"120\", \"support\": 1607, \"avg_response\": 96.55382700684505}, {\"adr\": \"100\", \"support\": 1573, \"avg_response\": 133.6083916083916}, {\"adr\": \"85\", \"support\": 1538, \"avg_response\": 85.5409622886866}, {\"adr\": \"110\", \"support\": 1525, \"avg_response\": 153.19081967213114}, {\"adr\": \"60\", \"support\": 1313, \"avg_response\": 133.2018278750952}, {\"adr\": \"130\", \"support\": 1275, \"avg_response\": 115.29490196078432}, {\"adr\": \"48\", \"support\": 1123, \"avg_response\": 68.04897595725734}, {\"adr\": \"115\", \"support\": 1080, \"avg_response\": 183.2462962962963}, {\"adr\": \"70\", \"support\": 1044, \"avg_response\": 104.11494252873563}, {\"adr\": \"99\", \"support\": 905, \"avg_response\": 131.9038674033149}, {\"adr\": \"140\", \"support\": 866, \"avg_response\": 76.96535796766743}, {\"adr\": \"126\", \"support\": 852, \"avg_response\": 93.4225352112676}, {\"adr\": \"108\", \"support\": 818, \"avg_response\": 82.90953545232274}, {\"adr\": \"170\", \"support\": 759, \"avg_response\": 102.76021080368906}, {\"adr\": \"160\", \"support\": 748, \"avg_response\": 70.33288770053476}, {\"adr\": \"89\", \"support\": 747, \"avg_response\": 108.87014725568942}, {\"adr\": \"68\", \"support\": 725, \"avg_response\": 75.42206896551724}, {\"adr\": \"105\", \"support\": 722, \"avg_response\": 86.18836565096953}, {\"adr\": \"135\", \"support\": 675, \"avg_response\": 84.82222222222222}, {\"adr\": \"79.2\", \"support\": 620, \"avg_response\": 92.98387096774194}, {\"adr\": \"89.1\", \"support\": 606, \"avg_response\": 171.66336633663366}, {\"adr\": \"117\", \"support\": 566, \"avg_response\": 133.62897526501766}, {\"adr\": \"62.8\", \"support\": 565, \"avg_response\": 359.51150442477876}, {\"adr\": \"109\", \"support\": 564, \"avg_response\": 68.13297872340425}, {\"adr\": \"88\", \"support\": 560, \"avg_response\": 33.10892857142857}, {\"adr\": \"72\", \"support\": 529, \"avg_response\": 144.05103969754254}, {\"adr\": \"94.5\", \"support\": 509, \"avg_response\": 101.62082514734774}, {\"adr\": \"79\", \"support\": 489, \"avg_response\": 31.0}, {\"adr\": \"66\", \"support\": 484, \"avg_response\": 121.22314049586777}, {\"adr\": \"98\", \"support\": 482, \"avg_response\": 37.412863070539416}, {\"adr\": \"96\", \"support\": 475, \"avg_response\": 121.52}, {\"adr\": \"55\", \"support\": 472, \"avg_response\": 52.04661016949152}, {\"adr\": \"101.5\", \"support\": 459, \"avg_response\": 203.8235294117647}, {\"adr\": \"67\", \"support\": 459, \"avg_response\": 94.33551198257081}, {\"adr\": \"58\", \"support\": 455, \"avg_response\": 39.77142857142857}, {\"adr\": \"125\", \"support\": 445, \"avg_response\": 101.10337078651685}, {\"adr\": \"81\", \"support\": 431, \"avg_response\": 94.60556844547564}, {\"adr\": \"74.8\", \"support\": 423, \"avg_response\": 60.307328605200944}, {\"adr\": \"107.1\", \"support\": 420, \"avg_response\": 173.41666666666666}, {\"adr\": \"35\", \"support\": 420, \"avg_response\": 10.65952380952381}, {\"adr\": \"40\", \"support\": 418, \"avg_response\": 29.023923444976077}, {\"adr\": \"76.5\", \"support\": 417, \"avg_response\": 115.6978417266187}, {\"adr\": \"50\", \"support\": 408, \"avg_response\": 70.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 76.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2b1e7c40aefd96075c734609b911c243d87bd2c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:26.620610+00:00", + "ended_at": "2026-05-19T16:10:26.698275+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_cc557b0b39c81e50", + "problem_id": "v2p_m12_813fa57908e14f02", + "dataset_id": "m12", + "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=lead_time, key_col=adr.", + "bindings": { + "key_col": "adr", + "measure_col": "lead_time", + "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/m12/sql/v2q_m12_cc557b0b39c81e50.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/m12/artifacts/v2q_m12_cc557b0b39c81e50/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_cc557b0b39c81e50/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/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b2e3933bfc5448d48558dae621aa4ef12fc0ff42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/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": "2026-05-19T16:08:23.126868+00:00", + "ended_at": "2026-05-19T16:08:26.336272+00:00", + "elapsed_ms": 3209.37, + "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_ce1ab91494237908/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d55dcae602119c8be69156df1e496776d226d488 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/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": "2026-05-19T16:08:27.338632+00:00", + "ended_at": "2026-05-19T16:08:30.056145+00:00", + "elapsed_ms": 2717.46, + "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_ce1ab91494237908/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66aae9b53331c12081ab80d4e690889b78cdbb6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/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=total_of_special_requests, measure_col=children.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "total_of_special_requests", + "measure_col": "children", + "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": 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_ce1ab91494237908/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..66aae9b53331c12081ab80d4e690889b78cdbb6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/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=total_of_special_requests, measure_col=children.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "total_of_special_requests", + "measure_col": "children", + "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": 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_ce1ab91494237908/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..afcc7bfbee62f853d8c96394bb523499d3ff38ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-d669-7c63-a546-56df78132f92"} +{"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_ce1ab91494237908/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffe720cc9114b485d8a46b83901bb2b672f7e12d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-d669-7c63-a546-56df78132f92"} +{"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_ce1ab91494237908/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e186063154a99ddf01e2a813ea13d91a5f4ef3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-e6d9-7e31-9cdf-8950fb38907a"} +{"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_ce1ab91494237908/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af48196ff05af8392174ec2ff69b624469b64a65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-e6d9-7e31-9cdf-8950fb38907a"} +{"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_ce1ab91494237908/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/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_ce1ab91494237908/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ce1ab91494237908/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_d176c36de18f036b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e03e278b6cf229d28ef0ade569941f2cc5336863 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/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": "2026-05-19T16:08:15.979106+00:00", + "ended_at": "2026-05-19T16:08:18.936919+00:00", + "elapsed_ms": 2957.79, + "returncode": 1, + "prompt_metrics": { + "chars": 17002, + "bytes_utf8": 17002, + "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_d176c36de18f036b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..61af599dedb76e56f691939537dabdabdb951e6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/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": "2026-05-19T16:08:19.939391+00:00", + "ended_at": "2026-05-19T16:08:23.114958+00:00", + "elapsed_ms": 3175.52, + "returncode": 1, + "prompt_metrics": { + "chars": 17002, + "bytes_utf8": 17002, + "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_d176c36de18f036b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..56a5fa91135f057ae72f1ec6c1934172ba4ebf33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/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=total_of_special_requests, measure_col=children.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "total_of_special_requests", + "measure_col": "children", + "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 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_d176c36de18f036b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..56a5fa91135f057ae72f1ec6c1934172ba4ebf33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/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=total_of_special_requests, measure_col=children.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "total_of_special_requests", + "measure_col": "children", + "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 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_d176c36de18f036b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e20a45f71af42b4f6a14645b0a1370d99539f584 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-ba7b-7fc2-8d39-4987da772dcd"} +{"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_d176c36de18f036b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..762250f710e1f5205f0b82fa7efd5847792a10f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-ba7b-7fc2-8d39-4987da772dcd"} +{"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_d176c36de18f036b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6df0fbc923770488bda2be6bbae69409c27d0a63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c9d9-79e0-9c5a-d40162872854"} +{"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_d176c36de18f036b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa0849ba97f5ecde40284a2f7b57260047724591 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-c9d9-79e0-9c5a-d40162872854"} +{"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_d176c36de18f036b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/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_d176c36de18f036b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d176c36de18f036b/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_d518286dd45f317c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5a4105fecbf8c015ff096f3458b6db34a243796c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17346, "bytes_utf8": 17346, "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": 733, "bytes_utf8": 733, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16780, "cached_input_tokens": 15744, "output_tokens": 606, "reasoning_output_tokens": 414}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5366a317c347acb0aa859d46418bf16893cef6fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/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_d518286dd45f317c", + "api_calls": 0, + "input_tokens": 16780, + "cached_input_tokens": 15744, + "output_tokens": 606, + "total_tokens": 17386, + "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": 11645.69, + "sql_execution_elapsed_ms_total": 108.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/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_d518286dd45f317c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..abd71ee670c278a02b8afcc292e8aef2ad29d113 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/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": "2026-05-19T15:38:04.174559+00:00", + "ended_at": "2026-05-19T15:38:15.820280+00:00", + "elapsed_ms": 11645.69, + "prompt_metrics": { + "chars": 17346, + "bytes_utf8": 17346, + "lines": 482, + "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": 733, + "bytes_utf8": 733, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16780, + "cached_input_tokens": 15744, + "output_tokens": 606, + "reasoning_output_tokens": 414 + } + }, + "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_d518286dd45f317c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e04b4e75285a756945ee95ef43e0e34f9bd4bba4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/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_month, measure_col=arrival_date_day_of_month.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "arrival_date_month", + "measure_col": "arrival_date_day_of_month", + "item_col": "company", + "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": 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}, {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_d518286dd45f317c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0761cb0257488f6f42f94e94c864ce54d470fd4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-1516-7713-ad00-0be29467730a"} +{"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_month\\\",\\n \\\"company\\\",\\n SUM(CAST(NULLIF(\\\"arrival_date_day_of_month\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"arrival_date_day_of_month\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"arrival_date_day_of_month\\\", '') AS REAL))) OVER (PARTITION BY \\\"arrival_date_month\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_month\\\", \\\"company\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"arrival_date_month\\\", item_col=\\\"company\\\", and measure_col=\\\"arrival_date_day_of_month\\\". Cast the measure from TEXT to REAL and treat empty strings as NULL for SQLite-safe aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16780,"cached_input_tokens":15744,"output_tokens":606,"reasoning_output_tokens":414}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..db3915f1c620fc02ebb193aa68998f8c44f3dc05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"arrival_date_month\",\n \"company\",\n SUM(CAST(NULLIF(\"arrival_date_day_of_month\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"arrival_date_day_of_month\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"arrival_date_day_of_month\", '') AS REAL))) OVER (PARTITION BY \"arrival_date_month\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"arrival_date_month\", \"company\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=\"arrival_date_month\", item_col=\"company\", and measure_col=\"arrival_date_day_of_month\". Cast the measure from TEXT to REAL and treat 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_d518286dd45f317c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d518286dd45f317c/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_d5cb31e9bda50e62/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..97829d3ccf886eee1b4b79fa045ac7412f79e37e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16870, "bytes_utf8": 16870, "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": 16662, "cached_input_tokens": 15744, "output_tokens": 299, "reasoning_output_tokens": 207}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f14153eb50de470d6902deebae86730ebb60abc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/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_d5cb31e9bda50e62", + "api_calls": 0, + "input_tokens": 16662, + "cached_input_tokens": 15744, + "output_tokens": 299, + "total_tokens": 16961, + "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": 8880.18, + "sql_execution_elapsed_ms_total": 61.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/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_d5cb31e9bda50e62/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e6e9af863b1b5597ebfa7b5cacb9c1355ccc1344 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/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": "2026-05-19T16:05:44.544205+00:00", + "ended_at": "2026-05-19T16:05:53.424414+00:00", + "elapsed_ms": 8880.18, + "prompt_metrics": { + "chars": 16870, + "bytes_utf8": 16870, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 667, + "bytes_utf8": 667, + "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": 16662, + "cached_input_tokens": 15744, + "output_tokens": 299, + "reasoning_output_tokens": 207 + } + }, + "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_d5cb31e9bda50e62/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f8cd0bbc1699bcd630dc90c3ddf4ce61eb0c38a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/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=meal.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "meal", + "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": 3.0, + "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_d5cb31e9bda50e62/cli/sql_response_attempt_1.raw.txt 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+{"type":"turn.completed","usage":{"input_tokens":16662,"cached_input_tokens":15744,"output_tokens":299,"reasoning_output_tokens":207}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6abc4755c38f9bac83370a8bcd1ef5f7dd8d8f50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/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 15;","notes":"Implements the planned Low-Support Group Count template with group_col bound to \"meal\" and top_k=15."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d5cb31e9bda50e62/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_d873344e10fb6042/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a4ac52ef9bc25ce2e3d18df19b29532e0323279b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17149, "bytes_utf8": 17149, "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": 17149, "bytes_utf8": 17149, "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": 472, "bytes_utf8": 472, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16721, "cached_input_tokens": 15744, "output_tokens": 1168, "reasoning_output_tokens": 1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f0e485fba9417a97dd05d96cf59ef19cf5d72c8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/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_d873344e10fb6042", + "api_calls": 0, + "input_tokens": 16721, + "cached_input_tokens": 15744, + "output_tokens": 1168, + "total_tokens": 17889, + "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": 25122.13, + "sql_execution_elapsed_ms_total": 58.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/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_d873344e10fb6042/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d6451be67629e08ae39594213d79817603877555 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/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": "2026-05-19T16:03:06.822466+00:00", + "ended_at": "2026-05-19T16:03:11.485074+00:00", + "elapsed_ms": 4662.58, + "returncode": 1, + "prompt_metrics": { + "chars": 17149, + "bytes_utf8": 17149, + "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_d873344e10fb6042/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3d2745c17519f19500731d487f4c7ed3c5fbf436 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/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": "2026-05-19T16:03:12.487628+00:00", + "ended_at": "2026-05-19T16:03:32.947220+00:00", + "elapsed_ms": 20459.55, + "prompt_metrics": { + "chars": 17149, + "bytes_utf8": 17149, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 838, + "bytes_utf8": 838, + "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": 472, + "bytes_utf8": 472, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16721, + "cached_input_tokens": 15744, + "output_tokens": 1168, + "reasoning_output_tokens": 1034 + } + }, + "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_d873344e10fb6042/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad88af686f7c0b7a05629495fab39b2454cb3a98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/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=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": "SC", + "positive_value": "BB", + "negative_value": "SC", + "top_k": 18, + "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": 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_d873344e10fb6042/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad88af686f7c0b7a05629495fab39b2454cb3a98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/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=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": "SC", + "positive_value": "BB", + "negative_value": "SC", + "top_k": 18, + "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": 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_d873344e10fb6042/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..17956b447554f0e19593413d4039b3733ee99dfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-02da-78d2-a388-9b4c48ec3540"} +{"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_d873344e10fb6042/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..81ec5a9d3b1839adf6412a03bc1cf00ee18959df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-02da-78d2-a388-9b4c48ec3540"} +{"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_d873344e10fb6042/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c6fdd5c71a11992defaf91f0942df4aa783ce40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-18eb-7ca3-bc02-7188338ac67c"} +{"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\\\" = 'SC' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"days_in_waiting_list\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Instantiates the Grouped Condition Rate template for the within-group proportion of rows where \\\"meal\\\" = 'SC' across \\\"days_in_waiting_list\\\" groups, with a minimum group size filter of 5.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16721,"cached_input_tokens":15744,"output_tokens":1168,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecff37c45800aeefa59104fdabbaf0cde0bdc20d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"days_in_waiting_list\",\n AVG(CASE WHEN \"meal\" = 'SC' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m12\"\nGROUP BY \"days_in_waiting_list\"\nHAVING COUNT(*) >= 5\nORDER BY \"condition_rate\" DESC;","notes":"Instantiates the Grouped Condition Rate template for the within-group proportion of rows where \"meal\" = 'SC' across \"days_in_waiting_list\" groups, with a minimum group size filter of 5."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/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_d873344e10fb6042/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_d873344e10fb6042/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_dc9527d0a3a408d9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..859e62f30ea5fb294e09ff8628a000b99fee5f52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/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": 517, "bytes_utf8": 517, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16661, "cached_input_tokens": 12032, "output_tokens": 482, "reasoning_output_tokens": 354}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..049a8b6dc15558384b0bf8b4f31dc7bbd141c53f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/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_dc9527d0a3a408d9", + "api_calls": 0, + "input_tokens": 16661, + "cached_input_tokens": 12032, + "output_tokens": 482, + "total_tokens": 17143, + "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": 20614.96, + "sql_execution_elapsed_ms_total": 57.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/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_dc9527d0a3a408d9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..73f245e74dcf3755038198c11ef55b8f7d65f51d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/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": "2026-05-19T15:30:36.267575+00:00", + "ended_at": "2026-05-19T15:30:56.882558+00:00", + "elapsed_ms": 20614.96, + "prompt_metrics": { + "chars": 16917, + "bytes_utf8": 16917, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1208, + "bytes_utf8": 1208, + "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": 517, + "bytes_utf8": 517, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16661, + "cached_input_tokens": 12032, + "output_tokens": 482, + "reasoning_output_tokens": 354 + } + }, + "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_dc9527d0a3a408d9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..780546103b497db2900935bab81f964f96fb459d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/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_day_of_month, measure_col=adults.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "arrival_date_day_of_month", + "measure_col": "adults", + "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": 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_dc9527d0a3a408d9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..54d8f1449c061c43b0d2e79e02338e1fec96b70d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40dc-3f6b-7e70-93af-f531dc81c2a5"} +{"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 1989916, Requested 17296. Please try again in 216ms. 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 CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER) AS \\\"arrival_date_day_of_month\\\", SUM(CAST(\\\"adults\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"m12\\\"\\nGROUP BY CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=arrival_date_day_of_month and measure_col=adults, casting both TEXT-backed numeric fields to INTEGER for SQLite-safe numeric aggregation and grouping.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16661,"cached_input_tokens":12032,"output_tokens":482,"reasoning_output_tokens":354}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5c3060b9c9edc8d994f879a04f2a639a6e5252a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"arrival_date_day_of_month\" AS INTEGER) AS \"arrival_date_day_of_month\", SUM(CAST(\"adults\" AS INTEGER)) AS \"total_measure\"\nFROM \"m12\"\nGROUP BY CAST(\"arrival_date_day_of_month\" AS INTEGER)\nORDER BY \"total_measure\" DESC;","notes":"Applied the provided Grouped Numeric Sum template with group_col=arrival_date_day_of_month and measure_col=adults, casting both TEXT-backed numeric fields to INTEGER for SQLite-safe numeric aggregation and grouping."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_dc9527d0a3a408d9/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_e42b917988ab53cb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4b4f558d977e4f6547e14bb460e638830fac8d5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17343, "bytes_utf8": 17343, "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": 999, "bytes_utf8": 999, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16778, "cached_input_tokens": 15744, "output_tokens": 776, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4b770167baf524b67c6fa20739874799b40401ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/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_e42b917988ab53cb", + "api_calls": 0, + "input_tokens": 16778, + "cached_input_tokens": 15744, + "output_tokens": 776, + "total_tokens": 17554, + "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": 17926.84, + "sql_execution_elapsed_ms_total": 123.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/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_e42b917988ab53cb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dc0d6ecd2215e281828f30d4e3115e503674b0ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/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": "2026-05-19T15:37:46.113241+00:00", + "ended_at": "2026-05-19T15:38:04.040108+00:00", + "elapsed_ms": 17926.84, + "prompt_metrics": { + "chars": 17343, + "bytes_utf8": 17343, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1412, + "bytes_utf8": 1412, + "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": 999, + "bytes_utf8": 999, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16778, + "cached_input_tokens": 15744, + "output_tokens": 776, + "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_e42b917988ab53cb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a55a56fbb1b78abb520ffb0a66868a647ba30712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/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_year, measure_col=arrival_date_week_number.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "arrival_date_year", + "measure_col": "arrival_date_week_number", + "item_col": "agent", + "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": 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": "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_e42b917988ab53cb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e651e0f8713e07a897d8948a315f9a5af04c302e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-ce77-75a1-b466-0a5ad3fefb3a"} +{"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_year\\\",\\n \\\"agent\\\",\\n SUM(CAST(\\\"arrival_date_week_number\\\" AS INTEGER)) AS total_measure,\\n SUM(CAST(\\\"arrival_date_week_number\\\" AS INTEGER)) * 100.0\\n / SUM(SUM(CAST(\\\"arrival_date_week_number\\\" AS INTEGER))) OVER (PARTITION BY \\\"arrival_date_year\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nWHERE \\\"arrival_date_year\\\" IS NOT NULL\\n AND TRIM(\\\"arrival_date_year\\\") <> ''\\n AND \\\"agent\\\" IS NOT NULL\\n AND TRIM(\\\"agent\\\") <> ''\\n AND \\\"arrival_date_week_number\\\" IS NOT NULL\\n AND TRIM(\\\"arrival_date_week_number\\\") <> ''\\nGROUP BY \\\"arrival_date_year\\\", \\\"agent\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the provided within-group share template with group_col=\\\"arrival_date_year\\\", item_col=\\\"agent\\\", and measure_col=\\\"arrival_date_week_number\\\". CAST is applied because the schema stores numeric-looking fields as TEXT, and blank keys/measures are excluded to avoid aggregating missing values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16778,"cached_input_tokens":15744,"output_tokens":776,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dd4831548f74cdbd49dc894d9b8e4977ac936a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"arrival_date_year\",\n \"agent\",\n SUM(CAST(\"arrival_date_week_number\" AS INTEGER)) AS total_measure,\n SUM(CAST(\"arrival_date_week_number\" AS INTEGER)) * 100.0\n / SUM(SUM(CAST(\"arrival_date_week_number\" AS INTEGER))) OVER (PARTITION BY \"arrival_date_year\") AS share_within_group\nFROM \"m12\"\nWHERE \"arrival_date_year\" IS NOT NULL\n AND TRIM(\"arrival_date_year\") <> ''\n AND \"agent\" IS NOT NULL\n AND TRIM(\"agent\") <> ''\n AND \"arrival_date_week_number\" IS NOT NULL\n AND TRIM(\"arrival_date_week_number\") <> ''\nGROUP BY \"arrival_date_year\", \"agent\"\nORDER BY share_within_group DESC;","notes":"Uses the provided within-group share template with group_col=\"arrival_date_year\", item_col=\"agent\", and measure_col=\"arrival_date_week_number\". CAST is applied because the schema stores numeric-looking fields as TEXT, and blank keys/measures are excluded to avoid aggregating missing values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e42b917988ab53cb/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6294c2222b71d6a0760815b7b576cad585e93004 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"assigned_room_type": "P", "condition_rate": 1.0}, {"assigned_room_type": "L", "condition_rate": 1.0}, {"assigned_room_type": "A", "condition_rate": 0.44492458104330684}, {"assigned_room_type": "H", "condition_rate": 0.35252808988764045}, {"assigned_room_type": "G", "condition_rate": 0.30552291421856637}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed5af549f07e17cae9fa42790a798060438c9d3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/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: m12 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m12_e44302143ddafe6f +-- problem_id: v2p_m12_378cd4319f78bee0 +-- realization_mode: agent +-- source_kind: agent +SELECT "assigned_room_type", + AVG(CASE WHEN "is_canceled" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m12" +GROUP BY "assigned_room_type" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ed20bdabec536d02c1557d708b9e708af163fd75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"assigned_room_type\", \"condition_rate\"], \"rows\": [{\"assigned_room_type\": \"P\", \"condition_rate\": 1.0}, {\"assigned_room_type\": \"L\", \"condition_rate\": 1.0}, {\"assigned_room_type\": \"A\", \"condition_rate\": 0.44492458104330684}, {\"assigned_room_type\": \"H\", \"condition_rate\": 0.35252808988764045}, {\"assigned_room_type\": \"G\", \"condition_rate\": 0.30552291421856637}, {\"assigned_room_type\": \"E\", \"condition_rate\": 0.2521137586471945}, {\"assigned_room_type\": \"D\", \"condition_rate\": 0.2512439775689124}, {\"assigned_room_type\": \"F\", \"condition_rate\": 0.24713409757398028}, {\"assigned_room_type\": \"B\", \"condition_rate\": 0.236708275543227}, {\"assigned_room_type\": \"C\", \"condition_rate\": 0.18778947368421053}, {\"assigned_room_type\": \"K\", \"condition_rate\": 0.043010752688172046}, {\"assigned_room_type\": \"I\", \"condition_rate\": 0.013774104683195593}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 63.43}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d8bdf20cd56e74bb59016fb21f63461c53686658 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:01:38.678394+00:00", + "ended_at": "2026-05-19T16:01:48.229931+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_e44302143ddafe6f", + "problem_id": "v2p_m12_378cd4319f78bee0", + "dataset_id": "m12", + "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=assigned_room_type, condition_col=is_canceled.", + "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 + }, + "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=4", + "sql_variant_index=2/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "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/m12/sql/v2q_m12_e44302143ddafe6f.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cbbd5d27d7df33c3bde0ffc8a30666960b6e95e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e44302143ddafe6f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:48.164759+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": 9477.15, "started_at": "2026-05-19T16:01:38.686728+00:00", "ended_at": "2026-05-19T16:01:48.163903+00:00", "prompt_metrics": {"chars": 17159, "bytes_utf8": 17159, "lines": 483, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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 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"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_e60ce34c3deb2a40/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f679fb13a0186fdc6f1a082b8031bc1d1906f176 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/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": "2026-05-19T16:09:18.851911+00:00", + "ended_at": "2026-05-19T16:09:23.071610+00:00", + "elapsed_ms": 4219.67, + "returncode": 1, + "prompt_metrics": { + "chars": 16996, + "bytes_utf8": 16996, + "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_e60ce34c3deb2a40/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c36a7c53c12cd8862216dce92fb3fe594f5d44d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/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": "2026-05-19T16:09:24.074365+00:00", + "ended_at": "2026-05-19T16:09:27.317559+00:00", + "elapsed_ms": 3243.14, + "returncode": 1, + "prompt_metrics": { + "chars": 16996, + "bytes_utf8": 16996, + "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_e60ce34c3deb2a40/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d83b65583f1213ca927e80cb0522edb4145be367 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/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=lead_time, measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "lead_time", + "measure_col": "days_in_waiting_list", + "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": 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 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_e60ce34c3deb2a40/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d83b65583f1213ca927e80cb0522edb4145be367 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/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=lead_time, measure_col=days_in_waiting_list.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "lead_time", + "measure_col": "days_in_waiting_list", + "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": 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 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_e60ce34c3deb2a40/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5be14a79991e0d9a176eef7917d51bc11d195112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-affa-7082-8ec7-6579784348dd"} +{"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_e60ce34c3deb2a40/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c00fabe9035ab901f1195f9bb89771c0fd249e7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-affa-7082-8ec7-6579784348dd"} +{"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_e60ce34c3deb2a40/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..176c52864536ca47befffcb4c1c6d27539be3406 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-c47b-7301-9758-55b4e7bd134f"} +{"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_e60ce34c3deb2a40/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8df31964ad44277e203090c3716342a7291fff4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-c47b-7301-9758-55b4e7bd134f"} +{"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_e60ce34c3deb2a40/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/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_e60ce34c3deb2a40/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e60ce34c3deb2a40/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_e6f76fe63a9cf43b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..68976b77ca770d0947739099eecb6363b4a1a5c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 115580, "support_share": 0.9680877795460257, "cumulative_support": 115580}, {"value_label": "1", "support": 3810, "support_share": 0.03191222045397437, "cumulative_support": 119390}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..de83b08d17c16a064befa0541e1f5b9f72c9bb64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/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: m12 +-- 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_m12_e6f76fe63a9cf43b +-- problem_id: v2p_m12_7049ccc8555c9c89 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "is_repeated_guest" AS value_label, COUNT(*) AS support + FROM "m12" + GROUP BY "is_repeated_guest" +), 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/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c230f9f6480124e59175c8cfe9636f98a0ad8f99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/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: m12\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_m12_e6f76fe63a9cf43b\n-- problem_id: v2p_m12_7049ccc8555c9c89\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"is_repeated_guest\" AS value_label, COUNT(*) AS support\n FROM \"m12\"\n GROUP BY \"is_repeated_guest\"\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: m12\\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_m12_e6f76fe63a9cf43b\\n-- problem_id: v2p_m12_7049ccc8555c9c89\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"is_repeated_guest\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m12\\\"\\n GROUP BY \\\"is_repeated_guest\\\"\\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\": 115580, \"support_share\": 0.9680877795460257, \"cumulative_support\": 115580}, {\"value_label\": \"1\", \"support\": 3810, \"support_share\": 0.03191222045397437, \"cumulative_support\": 119390}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 45.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fe4f8e87bc6fe36d83b6c4e306ba882f9b78c1d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T16:10:25.204584+00:00", + "ended_at": "2026-05-19T16:10:25.251296+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_e6f76fe63a9cf43b", + "problem_id": "v2p_m12_7049ccc8555c9c89", + "dataset_id": "m12", + "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=is_repeated_guest.", + "bindings": { + "group_col": "is_repeated_guest" + }, + "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=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "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/m12/sql/v2q_m12_e6f76fe63a9cf43b.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/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e6f76fe63a9cf43b/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/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..db6db1d690867a65be36d2866798e208b18f7998 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16925, "bytes_utf8": 16925, "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": 414, "bytes_utf8": 414, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16663, "cached_input_tokens": 12032, "output_tokens": 407, "reasoning_output_tokens": 294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1c50194762fc9e7d7f7aab318605beb786968c0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/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_e74fa476113a0dfd", + "api_calls": 0, + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 407, + "total_tokens": 17070, + "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": 15976.96, + "sql_execution_elapsed_ms_total": 75.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/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_e74fa476113a0dfd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c47341d2176c7609a043e1fe5bdf4e55e4650f96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/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": "2026-05-19T15:31:36.024097+00:00", + "ended_at": "2026-05-19T15:31:52.001097+00:00", + "elapsed_ms": 15976.96, + "prompt_metrics": { + "chars": 16925, + "bytes_utf8": 16925, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 770, + "bytes_utf8": 770, + "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": 414, + "bytes_utf8": 414, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16663, + "cached_input_tokens": 12032, + "output_tokens": 407, + "reasoning_output_tokens": 294 + } + }, + "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_e74fa476113a0dfd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66a9610250dc6f50712630204b539679b422f0a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/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_week_nights, measure_col=booking_changes.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "stays_in_week_nights", + "measure_col": "booking_changes", + "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}, 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_e74fa476113a0dfd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fb118eddce5674d369fdeb5208b60761692d8c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-28e2-7713-a1a0-276430af6c5e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"stays_in_week_nights\\\",\\n SUM(CAST(\\\"booking_changes\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"stays_in_week_nights\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the requested grouped numeric sum template with \\\"stays_in_week_nights\\\" as the group column and cast \\\"booking_changes\\\" to NUMERIC because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16663,"cached_input_tokens":12032,"output_tokens":407,"reasoning_output_tokens":294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1e2dbea5fcaf018006d40cc26b7947e8907776d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"stays_in_week_nights\",\n SUM(CAST(\"booking_changes\" AS NUMERIC)) AS total_measure\nFROM \"m12\"\nGROUP BY \"stays_in_week_nights\"\nORDER BY total_measure DESC;","notes":"Used the requested grouped numeric sum template with \"stays_in_week_nights\" as the group column and cast \"booking_changes\" to NUMERIC because the SQLite 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_e74fa476113a0dfd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_e74fa476113a0dfd/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_ebfa7172187b0f67/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..da94252a8a2994e20969332f6c19b780ee52fb5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17454, "bytes_utf8": 17454, "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": 745, "bytes_utf8": 745, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16789, "cached_input_tokens": 15744, "output_tokens": 621, "reasoning_output_tokens": 430}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6a5aa50619cf69bc6ae173f3b14b5cd7532836a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/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_ebfa7172187b0f67", + "api_calls": 0, + "input_tokens": 16789, + "cached_input_tokens": 15744, + "output_tokens": 621, + "total_tokens": 17410, + "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": 17872.22, + "sql_execution_elapsed_ms_total": 83.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/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_ebfa7172187b0f67/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c004b3640de6b3ccf9801d7b582e1a23da316d6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/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": "2026-05-19T15:50:36.910493+00:00", + "ended_at": "2026-05-19T15:50:54.782753+00:00", + "elapsed_ms": 17872.22, + "prompt_metrics": { + "chars": 17454, + "bytes_utf8": 17454, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1449, + "bytes_utf8": 1449, + "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": 745, + "bytes_utf8": 745, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16789, + "cached_input_tokens": 15744, + "output_tokens": 621, + "reasoning_output_tokens": 430 + } + }, + "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_ebfa7172187b0f67/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ce6425d3619e6842c65a7598d9d2bde3bebd6cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/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=customer_type, measure_col=children.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "customer_type", + "measure_col": "children", + "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": 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_ebfa7172187b0f67/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3a88c7995a178b5dc84d0bd631faf687c880622 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ee-918e-7951-b85a-0285f3b7c6d2"} +{"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 1988454, Requested 17424. Please try again in 176ms. 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 \\\"customer_type\\\", SUM(COALESCE(CAST(NULLIF(\\\"children\\\", '') AS REAL), 0)) AS group_value\\n FROM \\\"m12\\\"\\n GROUP BY \\\"customer_type\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"customer_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=\\\"customer_type\\\" and measure_col=\\\"children\\\". Because \\\"children\\\" is stored as TEXT and may contain empty strings, the query casts it to REAL and treats blanks as 0 before summing.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16789,"cached_input_tokens":15744,"output_tokens":621,"reasoning_output_tokens":430}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8837510cf34a8de69733cca1f2d65f4ccf048c01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"customer_type\", SUM(COALESCE(CAST(NULLIF(\"children\", '') AS REAL), 0)) AS group_value\n FROM \"m12\"\n GROUP BY \"customer_type\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"customer_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=\"customer_type\" and measure_col=\"children\". Because \"children\" is stored as TEXT and may contain empty strings, the query casts it to REAL and treats blanks as 0 before summing."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ebfa7172187b0f67/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_efec7032d628cacb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5680d59e2e68fa2e48c071b49e0a05b4f03320ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17474, "bytes_utf8": 17474, "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": 795, "bytes_utf8": 795, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16793, "cached_input_tokens": 15744, "output_tokens": 702, "reasoning_output_tokens": 504}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..71eca144f241600743ce4527f8fc928786ee9748 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/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_efec7032d628cacb", + "api_calls": 0, + "input_tokens": 16793, + "cached_input_tokens": 15744, + "output_tokens": 702, + "total_tokens": 17495, + "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": 13511.66, + "sql_execution_elapsed_ms_total": 71.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/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_efec7032d628cacb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..aa70b9509c7275d9d7b9d68e8a487738947af2ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/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": "2026-05-19T15:51:52.011051+00:00", + "ended_at": "2026-05-19T15:52:05.522743+00:00", + "elapsed_ms": 13511.66, + "prompt_metrics": { + "chars": 17474, + "bytes_utf8": 17474, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1170, + "bytes_utf8": 1170, + "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": 795, + "bytes_utf8": 795, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16793, + "cached_input_tokens": 15744, + "output_tokens": 702, + "reasoning_output_tokens": 504 + } + }, + "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_efec7032d628cacb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd6017ae0c032702a4a843eab4d2dbcf49c3f7e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/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=total_of_special_requests, measure_col=agent.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "total_of_special_requests", + "measure_col": "agent", + "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": 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": "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_efec7032d628cacb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bb60baafd94dbb60f782ffc40d7ae9b2b743d2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-b6d7-7190-b6c4-10ecd8194e21"} +{"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 \\\"total_of_special_requests\\\",\\n SUM(CAST(NULLIF(\\\"agent\\\", '') AS REAL)) AS group_value\\n FROM \\\"m12\\\"\\n GROUP BY \\\"total_of_special_requests\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"total_of_special_requests\\\",\\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\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"total_of_special_requests\\\" and measure_col=\\\"agent\\\". Since \\\"agent\\\" is stored as TEXT and may be empty, the query uses NULLIF and CAST to aggregate numeric values safely in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16793,"cached_input_tokens":15744,"output_tokens":702,"reasoning_output_tokens":504}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2048df3f65ffe592d0dd443e69fb3539cc3bbd9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"total_of_special_requests\",\n SUM(CAST(NULLIF(\"agent\", '') AS REAL)) AS group_value\n FROM \"m12\"\n GROUP BY \"total_of_special_requests\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"total_of_special_requests\",\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":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"total_of_special_requests\" and measure_col=\"agent\". Since \"agent\" is stored as TEXT and may be empty, the query uses NULLIF and CAST to aggregate numeric values safely in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_efec7032d628cacb/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_f209539798092102/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be69f8edd30916fe60e1ea942f47d60617369146 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/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": 325, "bytes_utf8": 325, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16632, "cached_input_tokens": 12032, "output_tokens": 325, "reasoning_output_tokens": 241}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d6e55652af92ea6e8962dc7c15fc6e3de8e83f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/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_f209539798092102", + "api_calls": 0, + "input_tokens": 16632, + "cached_input_tokens": 12032, + "output_tokens": 325, + "total_tokens": 16957, + "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": 25546.37, + "sql_execution_elapsed_ms_total": 69.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/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_f209539798092102/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..255c36bb6519dc9858f4c1b15a7674144ea150e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/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": "2026-05-19T15:32:49.207517+00:00", + "ended_at": "2026-05-19T15:33:14.753926+00:00", + "elapsed_ms": 25546.37, + "prompt_metrics": { + "chars": 16817, + "bytes_utf8": 16817, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2008, + "bytes_utf8": 2008, + "lines": 8, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 325, + "bytes_utf8": 325, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16632, + "cached_input_tokens": 12032, + "output_tokens": 325, + "reasoning_output_tokens": 241 + } + }, + "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_f209539798092102/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..005fd48c5012655b9a11b2e7ca5045ec6cc8e509 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/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=is_repeated_guest.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "is_repeated_guest", + "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": 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}, 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_f209539798092102/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae2254da2568511604a9d1921aed6faf9f0d2717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40de-46a9-7752-ba6e-3cb7eb1892da"} +{"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 17267. Please try again in 518ms. 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 1982915, Requested 17267. Please try again in 5ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984406, Requested 17267. Please try again in 50ms. 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 \\\"is_repeated_guest\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"is_repeated_guest\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned grouped-count template with \\\"is_repeated_guest\\\" as the grouping column to inspect subgroup count distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16632,"cached_input_tokens":12032,"output_tokens":325,"reasoning_output_tokens":241}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0f50ef9f9cde7c5a4e8db54dfbb388cf7513b43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"is_repeated_guest\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nGROUP BY \"is_repeated_guest\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned grouped-count template with \"is_repeated_guest\" as the grouping column to inspect subgroup count distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f209539798092102/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_f2cd4a8bc15dc356/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6573e009913a279450291ac14f8f8dda8348827 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17319, "bytes_utf8": 17319, "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": 610, "bytes_utf8": 610, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16774, "cached_input_tokens": 12032, "output_tokens": 472, "reasoning_output_tokens": 312}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92fa02f8fd2fe3755fde6beb7fc335d30ef2779c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/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_f2cd4a8bc15dc356", + "api_calls": 0, + "input_tokens": 16774, + "cached_input_tokens": 12032, + "output_tokens": 472, + "total_tokens": 17246, + "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": 10212.09, + "sql_execution_elapsed_ms_total": 115.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/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_f2cd4a8bc15dc356/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b77a53daa30632d70628316b187f18e0d91249c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/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": "2026-05-19T15:36:07.191874+00:00", + "ended_at": "2026-05-19T15:36:17.404050+00:00", + "elapsed_ms": 10212.09, + "prompt_metrics": { + "chars": 17319, + "bytes_utf8": 17319, + "lines": 482, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 990, + "bytes_utf8": 990, + "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": 16774, + "cached_input_tokens": 12032, + "output_tokens": 472, + "reasoning_output_tokens": 312 + } + }, + "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_f2cd4a8bc15dc356/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d52505a3b6c07bc2a2e8cb0c9eddc798ef3158e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/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=hotel, measure_col=total_of_special_requests.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "hotel", + "measure_col": "total_of_special_requests", + "item_col": "country", + "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}, {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_f2cd4a8bc15dc356/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eadf8a3e50b3672c379542a79462e06f7da3d3c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-4c1d-7b13-90fd-099aabf71968"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"hotel\\\", \\\"country\\\",\\n SUM(CAST(\\\"total_of_special_requests\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"total_of_special_requests\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"total_of_special_requests\\\" AS REAL))) OVER (PARTITION BY \\\"hotel\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"hotel\\\", \\\"country\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned template with group_col=\\\"hotel\\\", item_col=\\\"country\\\", and measure_col=\\\"total_of_special_requests\\\". Cast the measure to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16774,"cached_input_tokens":12032,"output_tokens":472,"reasoning_output_tokens":312}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..633874c67768cb60592ebdd96d46330af439be4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"hotel\", \"country\",\n SUM(CAST(\"total_of_special_requests\" AS REAL)) AS total_measure,\n SUM(CAST(\"total_of_special_requests\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"total_of_special_requests\" AS REAL))) OVER (PARTITION BY \"hotel\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"hotel\", \"country\"\nORDER BY share_within_group DESC;","notes":"Used the planned template with group_col=\"hotel\", item_col=\"country\", and measure_col=\"total_of_special_requests\". Cast the measure to REAL 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_f2cd4a8bc15dc356/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f2cd4a8bc15dc356/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_f49e1e556f77013f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..705bedbf2e1f86bd3641d6c22ea1039ed7b8ea7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17737, "bytes_utf8": 17737, "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": 745, "bytes_utf8": 745, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16867, "cached_input_tokens": 15744, "output_tokens": 671, "reasoning_output_tokens": 467}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6ccca4f6345b7eacf3e753a23a8e040c8af83c7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/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_f49e1e556f77013f", + "api_calls": 0, + "input_tokens": 16867, + "cached_input_tokens": 15744, + "output_tokens": 671, + "total_tokens": 17538, + "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": 29267.23, + "sql_execution_elapsed_ms_total": 68.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/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_f49e1e556f77013f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..92897c65b89cda4cfc21277fae7ba432874f5ab6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/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": "2026-05-19T15:40:40.650589+00:00", + "ended_at": "2026-05-19T15:41:09.917848+00:00", + "elapsed_ms": 29267.23, + "prompt_metrics": { + "chars": 17737, + "bytes_utf8": 17737, + "lines": 483, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2146, + "bytes_utf8": 2146, + "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": 745, + "bytes_utf8": 745, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16867, + "cached_input_tokens": 15744, + "output_tokens": 671, + "reasoning_output_tokens": 467 + } + }, + "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_f49e1e556f77013f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8bc1ac9e432880aeea3d80d2aa23ff3f7a66fe8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/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=babies, condition_col=customer_type.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "babies", + "condition_col": "customer_type", + "condition_value": "Transient-Party", + "positive_value": "Transient-Party", + "negative_value": "Transient", + "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": 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},\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_f49e1e556f77013f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfb2c8106b17f7112e6e6eb6bf20283b3a71090f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e5-7869-7f80-a6a6-4d2984c8da1d"} +{"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 1990397, Requested 17502. Please try again in 236ms. 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 1985386, Requested 17502. Please try again in 86ms. 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 1992246, Requested 17502. Please try again in 292ms. 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_group_ratio_two_conditions\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"babies\\\",\\n SUM(CASE WHEN \\\"customer_type\\\" = 'Transient-Party' THEN 1 ELSE 0 END) AS \\\"numerator_count\\\",\\n SUM(CASE WHEN \\\"customer_type\\\" = 'Transient' THEN 1 ELSE 0 END) AS \\\"denominator_count\\\"\\n FROM \\\"m12\\\"\\n GROUP BY \\\"babies\\\"\\n)\\nSELECT\\n \\\"babies\\\",\\n CAST(\\\"numerator_count\\\" AS FLOAT) / NULLIF(\\\"denominator_count\\\", 0) AS \\\"condition_ratio\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Filled the grouped ratio template using group_col=\\\"babies\\\" and condition_col=\\\"customer_type\\\", with 'Transient-Party' as the numerator condition and 'Transient' as the denominator condition.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16867,"cached_input_tokens":15744,"output_tokens":671,"reasoning_output_tokens":467}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b825e377a5177dcde33638a43630e5e6353c2af9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH \"grouped\" AS (\n SELECT\n \"babies\",\n SUM(CASE WHEN \"customer_type\" = 'Transient-Party' THEN 1 ELSE 0 END) AS \"numerator_count\",\n SUM(CASE WHEN \"customer_type\" = 'Transient' THEN 1 ELSE 0 END) AS \"denominator_count\"\n FROM \"m12\"\n GROUP BY \"babies\"\n)\nSELECT\n \"babies\",\n CAST(\"numerator_count\" AS FLOAT) / NULLIF(\"denominator_count\", 0) AS \"condition_ratio\"\nFROM \"grouped\"\nORDER BY \"condition_ratio\" DESC;","notes":"Filled the grouped ratio template using group_col=\"babies\" and condition_col=\"customer_type\", with 'Transient-Party' as the numerator condition and 'Transient' as the denominator condition."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f49e1e556f77013f/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_f8dc595c440478c6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb2f6e1acc6aea530baa2a4cf7573bf767229810 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16919, "bytes_utf8": 16919, "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": 402, "bytes_utf8": 402, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16661, "cached_input_tokens": 12032, "output_tokens": 385, "reasoning_output_tokens": 281}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b040dc804ff5cee8956ee4ffc90d36807313c8a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/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_f8dc595c440478c6", + "api_calls": 0, + "input_tokens": 16661, + "cached_input_tokens": 12032, + "output_tokens": 385, + "total_tokens": 17046, + "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": 9795.64, + "sql_execution_elapsed_ms_total": 64.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/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_f8dc595c440478c6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1d5866ffd36302b8f372ddea742af0838332072e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/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": "2026-05-19T15:30:56.950036+00:00", + "ended_at": "2026-05-19T15:31:06.745704+00:00", + "elapsed_ms": 9795.64, + "prompt_metrics": { + "chars": 16919, + "bytes_utf8": 16919, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 756, + "bytes_utf8": 756, + "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": 402, + "bytes_utf8": 402, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16661, + "cached_input_tokens": 12032, + "output_tokens": 385, + "reasoning_output_tokens": 281 + } + }, + "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_f8dc595c440478c6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5e39e7da2e4dfeafc02e2365530bc711cfc2144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/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_day_of_month, measure_col=adults.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "arrival_date_day_of_month", + "measure_col": "adults", + "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": 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_f8dc595c440478c6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..970daf39c58e160bf814879da231cb7d65ea13a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-9044-7451-96da-e2dd9e851cb6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"arrival_date_day_of_month\\\", SUM(CAST(\\\"adults\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_day_of_month\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped numeric sum template with \\\"arrival_date_day_of_month\\\" as the group column and casts text-stored \\\"adults\\\" values to numeric for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16661,"cached_input_tokens":12032,"output_tokens":385,"reasoning_output_tokens":281}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a29e90940ad838e99bfb8ef5ae4c83e3966a1c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"arrival_date_day_of_month\", SUM(CAST(\"adults\" AS NUMERIC)) AS total_measure\nFROM \"m12\"\nGROUP BY \"arrival_date_day_of_month\"\nORDER BY total_measure DESC;","notes":"Uses the planned grouped numeric sum template with \"arrival_date_day_of_month\" as the group column and casts text-stored \"adults\" values to numeric 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_f8dc595c440478c6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_f8dc595c440478c6/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5586b61463d0d8bc4439afaac63508219cd3d7a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: 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. +Result preview: [{"customer_type": "Transient", "group_value": 11289.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..233dc5d8ebb7d4a0308b9f28300057ec98c99c66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/generated_sql.sql @@ -0,0 +1,36 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: m12 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m12_fa7b4f537ae5028a +-- problem_id: v2p_m12_78ba9446b42c31d0 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "customer_type", + SUM( + CASE + WHEN TRIM(COALESCE("children", '')) <> '' THEN CAST("children" AS REAL) + ELSE NULL + END + ) AS "group_value" + FROM "m12" + GROUP BY "customer_type" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."customer_type", + 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/m12/artifacts/v2q_m12_fa7b4f537ae5028a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b36cf4f10f76923d00ae80912ba1851d9e8af5b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/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_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;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"customer_type\", \"group_value\"], \"rows\": [{\"customer_type\": \"Transient\", \"group_value\": 11289.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 69.89}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2800de39fda7d96899da484efe6c80aa988629cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:50:23.876770+00:00", + "ended_at": "2026-05-19T15:50:36.900446+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_fa7b4f537ae5028a", + "problem_id": "v2p_m12_78ba9446b42c31d0", + "dataset_id": "m12", + "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=customer_type, measure_col=children.", + "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 + }, + "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=6", + "sql_variant_index=1/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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/m12/sql/v2q_m12_fa7b4f537ae5028a.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a9a4b575d8bbec5942103db3796cde3c3ac686d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:36.827751+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": 12941.07, "started_at": "2026-05-19T15:50:23.885239+00:00", "ended_at": "2026-05-19T15:50:36.826335+00:00", "prompt_metrics": {"chars": 17452, "bytes_utf8": 17452, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3cfc92a6aa0c1b9a904ff7fdc8b0996cf43d6b6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fa7b4f537ae5028a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_fcb6f1a01c543067/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c352a1b553d0643467d57a2b5e4f1121df28eb7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17249, "bytes_utf8": 17249, "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": 473, "bytes_utf8": 473, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16756, "cached_input_tokens": 12032, "output_tokens": 342, "reasoning_output_tokens": 212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..725b0f5d79e1255f732d3b56b641d4d94985729e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/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_fcb6f1a01c543067", + "api_calls": 0, + "input_tokens": 16756, + "cached_input_tokens": 12032, + "output_tokens": 342, + "total_tokens": 17098, + "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": 33732.29, + "sql_execution_elapsed_ms_total": 109.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/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_fcb6f1a01c543067/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5ed99e91eac020e3681a33f91e27bf6f779684e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/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": "2026-05-19T15:42:37.875145+00:00", + "ended_at": "2026-05-19T15:43:11.607475+00:00", + "elapsed_ms": 33732.29, + "prompt_metrics": { + "chars": 17249, + "bytes_utf8": 17249, + "lines": 484, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 3178, + "bytes_utf8": 3178, + "lines": 11, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 473, + "bytes_utf8": 473, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16756, + "cached_input_tokens": 12032, + "output_tokens": 342, + "reasoning_output_tokens": 212 + } + }, + "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_fcb6f1a01c543067/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b0461566a603e1c406aca3db0335b9c0331c58d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/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=required_car_parking_spaces.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "is_canceled", + "group_col_2": "required_car_parking_spaces", + "predicate_col": "is_repeated_guest", + "predicate_op": "=", + "predicate_value": "0", + "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}, {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_fcb6f1a01c543067/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ceb347f7ad7fc622b84e5cfec5dbcfd0d2a1ebd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,11 @@ +{"type":"thread.started","thread_id":"019e40e7-4225-7881-a152-dda725d5933f"} +{"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 1994762, Requested 17391. Please try again in 364ms. 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 1993964, Requested 17391. Please try again in 340ms. 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 17391. Please try again in 521ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984711, Requested 17391. Please try again in 63ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1997320, Requested 17391. Please try again in 441ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"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 1993731, Requested 17391. Please try again in 333ms. 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 17391. 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 \\\"is_canceled\\\", \\\"required_car_parking_spaces\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nWHERE \\\"is_repeated_guest\\\" = '0'\\nGROUP BY \\\"is_canceled\\\", \\\"required_car_parking_spaces\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the requested filtered two-dimensional group count template with group_col=\\\"is_canceled\\\", group_col_2=\\\"required_car_parking_spaces\\\", and predicate \\\"is_repeated_guest\\\" = '0'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16756,"cached_input_tokens":12032,"output_tokens":342,"reasoning_output_tokens":212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b44bbfaa74fbcd2fa5a46c2fdfa886bb33dc0253 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"is_canceled\", \"required_car_parking_spaces\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nWHERE \"is_repeated_guest\" = '0'\nGROUP BY \"is_canceled\", \"required_car_parking_spaces\"\nORDER BY \"row_count\" DESC;","notes":"Uses the requested filtered two-dimensional group count template with group_col=\"is_canceled\", group_col_2=\"required_car_parking_spaces\", and predicate \"is_repeated_guest\" = '0'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fcb6f1a01c543067/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/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..81b2acc7640382db52cd1e4e0c447d74c9e876d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/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=hotel, measure_col=lead_time. +Result preview: [{"hotel": "City Hotel", "total_measure": 8705335}, {"hotel": "Resort Hotel", "total_measure": 3712588}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fc488a39db1982696e131e8f587e852a28894203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/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: m12 +-- 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_m12_fec8201590938f7d +-- problem_id: v2p_m12_5c0a05807c66682e +-- realization_mode: agent +-- source_kind: agent +SELECT "hotel", SUM(CAST("lead_time" AS NUMERIC)) AS total_measure +FROM "m12" +GROUP BY "hotel" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ebb2e6c3ccdfbf4a83c0d5f82ea06ddd7bbaea06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/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 \"hotel\", SUM(CAST(\"lead_time\" AS NUMERIC)) AS total_measure\nFROM \"m12\"\nGROUP BY \"hotel\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- 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;\", \"columns\": [\"hotel\", \"total_measure\"], \"rows\": [{\"hotel\": \"City Hotel\", \"total_measure\": 8705335}, {\"hotel\": \"Resort Hotel\", \"total_measure\": 3712588}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 69.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0255a4fbd4cdceb9961b40143298a25b417c5184 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "m12", + "started_at": "2026-05-19T15:28:17.979356+00:00", + "ended_at": "2026-05-19T15:28:27.023241+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m12_fec8201590938f7d", + "problem_id": "v2p_m12_5c0a05807c66682e", + "dataset_id": "m12", + "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=hotel, measure_col=lead_time.", + "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 + }, + "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/m12/sql/v2q_m12_fec8201590938f7d.sql", + "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/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1f4dde1d693b5972e112e1f2d92ff62bfe2540e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:26.951595+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": 8961.28, "started_at": "2026-05-19T15:28:17.989055+00:00", "ended_at": "2026-05-19T15:28:26.950361+00:00", "prompt_metrics": {"chars": 16884, "bytes_utf8": 16884, "lines": 480, "estimated_tokens": null}, "response_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}, "stderr_preview": "", "stdout_preview": "{\"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.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..62a81ce0d3b46573352de6b8fa908a335859e82b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fec8201590938f7d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "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_ff69214ddab4d5e6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6713484d6361a949746dc5804918bc2583a37ca9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/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": 304, "bytes_utf8": 304, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16630, "cached_input_tokens": 12032, "output_tokens": 287, "reasoning_output_tokens": 208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8ece321755b7c3ce2c42ed5a3fade7dc4ad3704a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/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_ff69214ddab4d5e6", + "api_calls": 0, + "input_tokens": 16630, + "cached_input_tokens": 12032, + "output_tokens": 287, + "total_tokens": 16917, + "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": 17353.24, + "sql_execution_elapsed_ms_total": 54.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/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_ff69214ddab4d5e6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eec6bb3a4142961628820a2e96021cfd5fa668d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/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": "2026-05-19T15:33:38.587377+00:00", + "ended_at": "2026-05-19T15:33:55.940648+00:00", + "elapsed_ms": 17353.24, + "prompt_metrics": { + "chars": 16817, + "bytes_utf8": 16817, + "lines": 478, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1320, + "bytes_utf8": 1320, + "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": 304, + "bytes_utf8": 304, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16630, + "cached_input_tokens": 12032, + "output_tokens": 287, + "reasoning_output_tokens": 208 + } + }, + "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_ff69214ddab4d5e6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4b8706985e6e7be137635ec8df396c8ffddf844 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/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=reserved_room_type.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "reserved_room_type", + "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": 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}, 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_ff69214ddab4d5e6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0e2d95950c464f87f784474db84bbe756808191 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40df-07ab-7531-8b7c-92334a4ffc0d"} +{"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 1991232, Requested 17265. Please try again in 254ms. 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 17265. Please try again in 517ms. 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 \\\"reserved_room_type\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"reserved_room_type\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the grouped count template exactly with group_col bound to reserved_room_type on single table m12.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":16630,"cached_input_tokens":12032,"output_tokens":287,"reasoning_output_tokens":208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a22fc9aee71dbcd2f5ea160039fe2951bf049cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"reserved_room_type\", COUNT(*) AS \"row_count\"\nFROM \"m12\"\nGROUP BY \"reserved_room_type\"\nORDER BY \"row_count\" DESC;","notes":"Applied the grouped count template exactly with group_col bound to reserved_room_type on 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_ff69214ddab4d5e6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_ff69214ddab4d5e6/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_fff480fda196fe89/cli/conversation.jsonl 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a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c2fd21585d41594d68f6ef30046e74751755e7f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/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_fff480fda196fe89", + "api_calls": 0, + "input_tokens": 16659, + "cached_input_tokens": 12032, + "output_tokens": 297, + "total_tokens": 16956, + "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": 8894.18, + "sql_execution_elapsed_ms_total": 55.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/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_fff480fda196fe89/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..25dab7e46bcd4ad3836e7caf3c158d711b123f91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/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": "2026-05-19T15:28:35.839121+00:00", + "ended_at": "2026-05-19T15:28:44.733327+00:00", + "elapsed_ms": 8894.18, + "prompt_metrics": { + "chars": 16913, + "bytes_utf8": 16913, + "lines": 480, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 769, + "bytes_utf8": 769, + "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": 409, + "bytes_utf8": 409, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 16659, + "cached_input_tokens": 12032, + "output_tokens": 297, + "reasoning_output_tokens": 184 + } + }, + "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_fff480fda196fe89/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb83fea8ec8e5f2d3c994a528717f12191233b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/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": 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": 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}, 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_fff480fda196fe89/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7346ef5b89da562c6964e317ba189cf81a5d3a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-6906-7950-840f-ea06921ec87b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"is_canceled\\\",\\n SUM(CAST(\\\"arrival_date_year\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m12\\\"\\nGROUP BY \\\"is_canceled\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned 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":297,"reasoning_output_tokens":184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bc0704b0a92623d03ac138e412fec1b799ecb6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"is_canceled\",\n SUM(CAST(\"arrival_date_year\" AS NUMERIC)) AS total_measure\nFROM \"m12\"\nGROUP BY \"is_canceled\"\nORDER BY total_measure DESC;","notes":"Used the planned 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_fff480fda196fe89/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_fff480fda196fe89/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391