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- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/conversation.jsonl +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/session_summary.json +25 -0
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- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_attempt_2.metadata.json +43 -0
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- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/session_summary.json +25 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_1.metadata.json +43 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_2.metadata.json +45 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_1.txt +478 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_2.txt +478 -0
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- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_1.txt +4 -0
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- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_2.txt +1 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_stderr_attempt_1.txt +0 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_stderr_attempt_2.txt +0 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/conversation.jsonl +2 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/session_summary.json +25 -0
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/conversation.jsonl
ADDED
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{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17087, "bytes_utf8": 17087, "lines": 480, "estimated_tokens": null}}
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{"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: "}
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{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1203, "bytes_utf8": 1203, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16695, "cached_input_tokens": 15744, "output_tokens": 863, "reasoning_output_tokens": 516}}
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Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/session_summary.json
ADDED
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{
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"engine": "v2-cli:codex",
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"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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"ai_cli_calls": 2,
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"run_id": "v2q_m12_019d6b006b7de3e4",
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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_019d6b006b7de3e4/cli/conversation.jsonl",
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"note": "Executed through a local AI CLI with structured usage metadata."
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}
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Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_attempt_1.metadata.json
ADDED
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{
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"attempt": 1,
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"phase": "sql_generation",
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"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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"started_at": "2026-05-19T15:52:54.550844+00:00",
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"prompt_metrics": {
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"chars": 17087,
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"text_metrics": {
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"chars": 280,
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"usage": {}
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"status": "failed",
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"error": "AI CLI command failed with exit code 1: ",
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"prompt_path": "cli/sql_prompt_attempt_1.txt",
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"response_path": "cli/sql_response_attempt_1.txt",
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"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
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"stderr_path": "cli/sql_stderr_attempt_1.txt"
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}
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Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_attempt_2.metadata.json
ADDED
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{
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"phase": "sql_generation",
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"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
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"parsed_output": {
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"format": "jsonl_events",
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"text_metrics": {
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"chars": 1203,
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"lines": 1,
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"usage": {
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},
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"prompt_path": "cli/sql_prompt_attempt_2.txt",
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"response_path": "cli/sql_response_attempt_2.txt",
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"raw_response_path": "cli/sql_response_attempt_2.raw.txt",
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"stderr_path": "cli/sql_stderr_attempt_2.txt"
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}
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Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_prompt_attempt_1.txt
ADDED
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|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m12
|
| 15 |
+
- dataset_name: Hotel Booking Demand
|
| 16 |
+
- table_name: m12
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: customer_type
|
| 21 |
+
- main_row_count: 119390
|
| 22 |
+
- important_fields:
|
| 23 |
+
- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel.
|
| 24 |
+
- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled.
|
| 25 |
+
- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time.
|
| 26 |
+
- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year.
|
| 27 |
+
- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month.
|
| 28 |
+
- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number.
|
| 29 |
+
- 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.
|
| 30 |
+
- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights.
|
| 31 |
+
- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights.
|
| 32 |
+
- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults.
|
| 33 |
+
- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children.
|
| 34 |
+
- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies.
|
| 35 |
+
- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal.
|
| 36 |
+
- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country.
|
| 37 |
+
- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment.
|
| 38 |
+
- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel.
|
| 39 |
+
- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest.
|
| 40 |
+
- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations.
|
| 41 |
+
- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled.
|
| 42 |
+
- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type.
|
| 43 |
+
- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type.
|
| 44 |
+
- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes.
|
| 45 |
+
- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type.
|
| 46 |
+
- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent.
|
| 47 |
+
- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company.
|
| 48 |
+
- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list.
|
| 49 |
+
- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type.
|
| 50 |
+
- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr.
|
| 51 |
+
- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces.
|
| 52 |
+
- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests.
|
| 53 |
+
- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status.
|
| 54 |
+
- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date.
|
| 55 |
+
- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']]
|
| 56 |
+
- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country']
|
| 57 |
+
- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
|
| 58 |
+
|
| 59 |
+
SQLite schema snapshot:
|
| 60 |
+
{
|
| 61 |
+
"table_name": "m12",
|
| 62 |
+
"quoted_table_name": "\"m12\"",
|
| 63 |
+
"row_count": 119390,
|
| 64 |
+
"columns": [
|
| 65 |
+
{
|
| 66 |
+
"name": "hotel",
|
| 67 |
+
"type": "TEXT",
|
| 68 |
+
"notnull": false,
|
| 69 |
+
"pk": false
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "is_canceled",
|
| 73 |
+
"type": "TEXT",
|
| 74 |
+
"notnull": false,
|
| 75 |
+
"pk": false
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "lead_time",
|
| 79 |
+
"type": "TEXT",
|
| 80 |
+
"notnull": false,
|
| 81 |
+
"pk": false
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "arrival_date_year",
|
| 85 |
+
"type": "TEXT",
|
| 86 |
+
"notnull": false,
|
| 87 |
+
"pk": false
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "arrival_date_month",
|
| 91 |
+
"type": "TEXT",
|
| 92 |
+
"notnull": false,
|
| 93 |
+
"pk": false
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "arrival_date_week_number",
|
| 97 |
+
"type": "TEXT",
|
| 98 |
+
"notnull": false,
|
| 99 |
+
"pk": false
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"name": "arrival_date_day_of_month",
|
| 103 |
+
"type": "TEXT",
|
| 104 |
+
"notnull": false,
|
| 105 |
+
"pk": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"name": "stays_in_weekend_nights",
|
| 109 |
+
"type": "TEXT",
|
| 110 |
+
"notnull": false,
|
| 111 |
+
"pk": false
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"name": "stays_in_week_nights",
|
| 115 |
+
"type": "TEXT",
|
| 116 |
+
"notnull": false,
|
| 117 |
+
"pk": false
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"name": "adults",
|
| 121 |
+
"type": "TEXT",
|
| 122 |
+
"notnull": false,
|
| 123 |
+
"pk": false
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"name": "children",
|
| 127 |
+
"type": "TEXT",
|
| 128 |
+
"notnull": false,
|
| 129 |
+
"pk": false
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "babies",
|
| 133 |
+
"type": "TEXT",
|
| 134 |
+
"notnull": false,
|
| 135 |
+
"pk": false
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"name": "meal",
|
| 139 |
+
"type": "TEXT",
|
| 140 |
+
"notnull": false,
|
| 141 |
+
"pk": false
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "country",
|
| 145 |
+
"type": "TEXT",
|
| 146 |
+
"notnull": false,
|
| 147 |
+
"pk": false
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"name": "market_segment",
|
| 151 |
+
"type": "TEXT",
|
| 152 |
+
"notnull": false,
|
| 153 |
+
"pk": false
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"name": "distribution_channel",
|
| 157 |
+
"type": "TEXT",
|
| 158 |
+
"notnull": false,
|
| 159 |
+
"pk": false
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"name": "is_repeated_guest",
|
| 163 |
+
"type": "TEXT",
|
| 164 |
+
"notnull": false,
|
| 165 |
+
"pk": false
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"name": "previous_cancellations",
|
| 169 |
+
"type": "TEXT",
|
| 170 |
+
"notnull": false,
|
| 171 |
+
"pk": false
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"name": "previous_bookings_not_canceled",
|
| 175 |
+
"type": "TEXT",
|
| 176 |
+
"notnull": false,
|
| 177 |
+
"pk": false
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"name": "reserved_room_type",
|
| 181 |
+
"type": "TEXT",
|
| 182 |
+
"notnull": false,
|
| 183 |
+
"pk": false
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"name": "assigned_room_type",
|
| 187 |
+
"type": "TEXT",
|
| 188 |
+
"notnull": false,
|
| 189 |
+
"pk": false
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"name": "booking_changes",
|
| 193 |
+
"type": "TEXT",
|
| 194 |
+
"notnull": false,
|
| 195 |
+
"pk": false
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"name": "deposit_type",
|
| 199 |
+
"type": "TEXT",
|
| 200 |
+
"notnull": false,
|
| 201 |
+
"pk": false
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"name": "agent",
|
| 205 |
+
"type": "TEXT",
|
| 206 |
+
"notnull": false,
|
| 207 |
+
"pk": false
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"name": "company",
|
| 211 |
+
"type": "TEXT",
|
| 212 |
+
"notnull": false,
|
| 213 |
+
"pk": false
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"name": "days_in_waiting_list",
|
| 217 |
+
"type": "TEXT",
|
| 218 |
+
"notnull": false,
|
| 219 |
+
"pk": false
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"name": "customer_type",
|
| 223 |
+
"type": "TEXT",
|
| 224 |
+
"notnull": false,
|
| 225 |
+
"pk": false
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"name": "adr",
|
| 229 |
+
"type": "TEXT",
|
| 230 |
+
"notnull": false,
|
| 231 |
+
"pk": false
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"name": "required_car_parking_spaces",
|
| 235 |
+
"type": "TEXT",
|
| 236 |
+
"notnull": false,
|
| 237 |
+
"pk": false
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"name": "total_of_special_requests",
|
| 241 |
+
"type": "TEXT",
|
| 242 |
+
"notnull": false,
|
| 243 |
+
"pk": false
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"name": "reservation_status",
|
| 247 |
+
"type": "TEXT",
|
| 248 |
+
"notnull": false,
|
| 249 |
+
"pk": false
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"name": "reservation_status_date",
|
| 253 |
+
"type": "TEXT",
|
| 254 |
+
"notnull": false,
|
| 255 |
+
"pk": false
|
| 256 |
+
}
|
| 257 |
+
],
|
| 258 |
+
"sample_rows": [
|
| 259 |
+
{
|
| 260 |
+
"hotel": "Resort Hotel",
|
| 261 |
+
"is_canceled": "0",
|
| 262 |
+
"lead_time": "342",
|
| 263 |
+
"arrival_date_year": "2015",
|
| 264 |
+
"arrival_date_month": "July",
|
| 265 |
+
"arrival_date_week_number": "27",
|
| 266 |
+
"arrival_date_day_of_month": "1",
|
| 267 |
+
"stays_in_weekend_nights": "0",
|
| 268 |
+
"stays_in_week_nights": "0",
|
| 269 |
+
"adults": "2",
|
| 270 |
+
"children": "0",
|
| 271 |
+
"babies": "0",
|
| 272 |
+
"meal": "BB",
|
| 273 |
+
"country": "PRT",
|
| 274 |
+
"market_segment": "Direct",
|
| 275 |
+
"distribution_channel": "Direct",
|
| 276 |
+
"is_repeated_guest": "0",
|
| 277 |
+
"previous_cancellations": "0",
|
| 278 |
+
"previous_bookings_not_canceled": "0",
|
| 279 |
+
"reserved_room_type": "C",
|
| 280 |
+
"assigned_room_type": "C",
|
| 281 |
+
"booking_changes": "3",
|
| 282 |
+
"deposit_type": "No Deposit",
|
| 283 |
+
"agent": "",
|
| 284 |
+
"company": "",
|
| 285 |
+
"days_in_waiting_list": "0",
|
| 286 |
+
"customer_type": "Transient",
|
| 287 |
+
"adr": "0",
|
| 288 |
+
"required_car_parking_spaces": "0",
|
| 289 |
+
"total_of_special_requests": "0",
|
| 290 |
+
"reservation_status": "Check-Out",
|
| 291 |
+
"reservation_status_date": "2015-07-01"
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"hotel": "Resort Hotel",
|
| 295 |
+
"is_canceled": "0",
|
| 296 |
+
"lead_time": "737",
|
| 297 |
+
"arrival_date_year": "2015",
|
| 298 |
+
"arrival_date_month": "July",
|
| 299 |
+
"arrival_date_week_number": "27",
|
| 300 |
+
"arrival_date_day_of_month": "1",
|
| 301 |
+
"stays_in_weekend_nights": "0",
|
| 302 |
+
"stays_in_week_nights": "0",
|
| 303 |
+
"adults": "2",
|
| 304 |
+
"children": "0",
|
| 305 |
+
"babies": "0",
|
| 306 |
+
"meal": "BB",
|
| 307 |
+
"country": "PRT",
|
| 308 |
+
"market_segment": "Direct",
|
| 309 |
+
"distribution_channel": "Direct",
|
| 310 |
+
"is_repeated_guest": "0",
|
| 311 |
+
"previous_cancellations": "0",
|
| 312 |
+
"previous_bookings_not_canceled": "0",
|
| 313 |
+
"reserved_room_type": "C",
|
| 314 |
+
"assigned_room_type": "C",
|
| 315 |
+
"booking_changes": "4",
|
| 316 |
+
"deposit_type": "No Deposit",
|
| 317 |
+
"agent": "",
|
| 318 |
+
"company": "",
|
| 319 |
+
"days_in_waiting_list": "0",
|
| 320 |
+
"customer_type": "Transient",
|
| 321 |
+
"adr": "0",
|
| 322 |
+
"required_car_parking_spaces": "0",
|
| 323 |
+
"total_of_special_requests": "0",
|
| 324 |
+
"reservation_status": "Check-Out",
|
| 325 |
+
"reservation_status_date": "2015-07-01"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"hotel": "Resort Hotel",
|
| 329 |
+
"is_canceled": "0",
|
| 330 |
+
"lead_time": "7",
|
| 331 |
+
"arrival_date_year": "2015",
|
| 332 |
+
"arrival_date_month": "July",
|
| 333 |
+
"arrival_date_week_number": "27",
|
| 334 |
+
"arrival_date_day_of_month": "1",
|
| 335 |
+
"stays_in_weekend_nights": "0",
|
| 336 |
+
"stays_in_week_nights": "1",
|
| 337 |
+
"adults": "1",
|
| 338 |
+
"children": "0",
|
| 339 |
+
"babies": "0",
|
| 340 |
+
"meal": "BB",
|
| 341 |
+
"country": "GBR",
|
| 342 |
+
"market_segment": "Direct",
|
| 343 |
+
"distribution_channel": "Direct",
|
| 344 |
+
"is_repeated_guest": "0",
|
| 345 |
+
"previous_cancellations": "0",
|
| 346 |
+
"previous_bookings_not_canceled": "0",
|
| 347 |
+
"reserved_room_type": "A",
|
| 348 |
+
"assigned_room_type": "C",
|
| 349 |
+
"booking_changes": "0",
|
| 350 |
+
"deposit_type": "No Deposit",
|
| 351 |
+
"agent": "",
|
| 352 |
+
"company": "",
|
| 353 |
+
"days_in_waiting_list": "0",
|
| 354 |
+
"customer_type": "Transient",
|
| 355 |
+
"adr": "75",
|
| 356 |
+
"required_car_parking_spaces": "0",
|
| 357 |
+
"total_of_special_requests": "0",
|
| 358 |
+
"reservation_status": "Check-Out",
|
| 359 |
+
"reservation_status_date": "2015-07-02"
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"hotel": "Resort Hotel",
|
| 363 |
+
"is_canceled": "0",
|
| 364 |
+
"lead_time": "13",
|
| 365 |
+
"arrival_date_year": "2015",
|
| 366 |
+
"arrival_date_month": "July",
|
| 367 |
+
"arrival_date_week_number": "27",
|
| 368 |
+
"arrival_date_day_of_month": "1",
|
| 369 |
+
"stays_in_weekend_nights": "0",
|
| 370 |
+
"stays_in_week_nights": "1",
|
| 371 |
+
"adults": "1",
|
| 372 |
+
"children": "0",
|
| 373 |
+
"babies": "0",
|
| 374 |
+
"meal": "BB",
|
| 375 |
+
"country": "GBR",
|
| 376 |
+
"market_segment": "Corporate",
|
| 377 |
+
"distribution_channel": "Corporate",
|
| 378 |
+
"is_repeated_guest": "0",
|
| 379 |
+
"previous_cancellations": "0",
|
| 380 |
+
"previous_bookings_not_canceled": "0",
|
| 381 |
+
"reserved_room_type": "A",
|
| 382 |
+
"assigned_room_type": "A",
|
| 383 |
+
"booking_changes": "0",
|
| 384 |
+
"deposit_type": "No Deposit",
|
| 385 |
+
"agent": "304",
|
| 386 |
+
"company": "",
|
| 387 |
+
"days_in_waiting_list": "0",
|
| 388 |
+
"customer_type": "Transient",
|
| 389 |
+
"adr": "75",
|
| 390 |
+
"required_car_parking_spaces": "0",
|
| 391 |
+
"total_of_special_requests": "0",
|
| 392 |
+
"reservation_status": "Check-Out",
|
| 393 |
+
"reservation_status_date": "2015-07-02"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"hotel": "Resort Hotel",
|
| 397 |
+
"is_canceled": "0",
|
| 398 |
+
"lead_time": "14",
|
| 399 |
+
"arrival_date_year": "2015",
|
| 400 |
+
"arrival_date_month": "July",
|
| 401 |
+
"arrival_date_week_number": "27",
|
| 402 |
+
"arrival_date_day_of_month": "1",
|
| 403 |
+
"stays_in_weekend_nights": "0",
|
| 404 |
+
"stays_in_week_nights": "2",
|
| 405 |
+
"adults": "2",
|
| 406 |
+
"children": "0",
|
| 407 |
+
"babies": "0",
|
| 408 |
+
"meal": "BB",
|
| 409 |
+
"country": "GBR",
|
| 410 |
+
"market_segment": "Online TA",
|
| 411 |
+
"distribution_channel": "TA/TO",
|
| 412 |
+
"is_repeated_guest": "0",
|
| 413 |
+
"previous_cancellations": "0",
|
| 414 |
+
"previous_bookings_not_canceled": "0",
|
| 415 |
+
"reserved_room_type": "A",
|
| 416 |
+
"assigned_room_type": "A",
|
| 417 |
+
"booking_changes": "0",
|
| 418 |
+
"deposit_type": "No Deposit",
|
| 419 |
+
"agent": "240",
|
| 420 |
+
"company": "",
|
| 421 |
+
"days_in_waiting_list": "0",
|
| 422 |
+
"customer_type": "Transient",
|
| 423 |
+
"adr": "98",
|
| 424 |
+
"required_car_parking_spaces": "0",
|
| 425 |
+
"total_of_special_requests": "1",
|
| 426 |
+
"reservation_status": "Check-Out",
|
| 427 |
+
"reservation_status_date": "2015-07-03"
|
| 428 |
+
}
|
| 429 |
+
]
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
Shortlisted templates:
|
| 433 |
+
[
|
| 434 |
+
{
|
| 435 |
+
"template_id": "tpl_grouped_percentile_point",
|
| 436 |
+
"template_name": "Grouped Percentile Point",
|
| 437 |
+
"primary_family": "tail_rarity_structure",
|
| 438 |
+
"portability": "yes",
|
| 439 |
+
"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;",
|
| 440 |
+
"required_roles": [
|
| 441 |
+
"group_col",
|
| 442 |
+
"measure_col"
|
| 443 |
+
]
|
| 444 |
+
}
|
| 445 |
+
]
|
| 446 |
+
|
| 447 |
+
Problem instance:
|
| 448 |
+
{
|
| 449 |
+
"dataset_id": "m12",
|
| 450 |
+
"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.",
|
| 451 |
+
"planned_template_id": "tpl_grouped_percentile_point",
|
| 452 |
+
"bindings": {
|
| 453 |
+
"group_col": "arrival_date_year",
|
| 454 |
+
"measure_col": "lead_time",
|
| 455 |
+
"top_k": 14,
|
| 456 |
+
"top_n": 3,
|
| 457 |
+
"num_tiles": 10,
|
| 458 |
+
"percentile_value": 0.95,
|
| 459 |
+
"z_threshold": 2.0,
|
| 460 |
+
"fraction_threshold": 0.1,
|
| 461 |
+
"baseline_multiplier": 1.5,
|
| 462 |
+
"baseline_fraction": 0.1,
|
| 463 |
+
"min_group_size": 5,
|
| 464 |
+
"min_support": 5,
|
| 465 |
+
"measure_threshold": 53.0,
|
| 466 |
+
"time_grain": "month",
|
| 467 |
+
"lookback_rows": 3,
|
| 468 |
+
"current_period_start": "'2024-01-01'",
|
| 469 |
+
"current_period_end": "'2024-04-01'",
|
| 470 |
+
"previous_period_start": "'2023-10-01'",
|
| 471 |
+
"previous_period_end": "'2024-01-01'",
|
| 472 |
+
"drift_ratio_threshold": 0.8
|
| 473 |
+
},
|
| 474 |
+
"can_vary": [],
|
| 475 |
+
"must_fix": [],
|
| 476 |
+
"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;"
|
| 477 |
+
}
|
| 478 |
+
|
| 479 |
+
Repair context:
|
| 480 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_prompt_attempt_2.txt
ADDED
|
@@ -0,0 +1,480 @@
|
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|
|
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|
|
|
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|
|
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|
|
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|
|
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|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m12
|
| 15 |
+
- dataset_name: Hotel Booking Demand
|
| 16 |
+
- table_name: m12
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: customer_type
|
| 21 |
+
- main_row_count: 119390
|
| 22 |
+
- important_fields:
|
| 23 |
+
- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel.
|
| 24 |
+
- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled.
|
| 25 |
+
- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time.
|
| 26 |
+
- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year.
|
| 27 |
+
- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month.
|
| 28 |
+
- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number.
|
| 29 |
+
- 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.
|
| 30 |
+
- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights.
|
| 31 |
+
- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights.
|
| 32 |
+
- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults.
|
| 33 |
+
- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children.
|
| 34 |
+
- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies.
|
| 35 |
+
- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal.
|
| 36 |
+
- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country.
|
| 37 |
+
- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment.
|
| 38 |
+
- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel.
|
| 39 |
+
- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest.
|
| 40 |
+
- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations.
|
| 41 |
+
- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled.
|
| 42 |
+
- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type.
|
| 43 |
+
- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type.
|
| 44 |
+
- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes.
|
| 45 |
+
- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type.
|
| 46 |
+
- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent.
|
| 47 |
+
- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company.
|
| 48 |
+
- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list.
|
| 49 |
+
- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type.
|
| 50 |
+
- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr.
|
| 51 |
+
- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces.
|
| 52 |
+
- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests.
|
| 53 |
+
- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status.
|
| 54 |
+
- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date.
|
| 55 |
+
- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']]
|
| 56 |
+
- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country']
|
| 57 |
+
- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
|
| 58 |
+
|
| 59 |
+
SQLite schema snapshot:
|
| 60 |
+
{
|
| 61 |
+
"table_name": "m12",
|
| 62 |
+
"quoted_table_name": "\"m12\"",
|
| 63 |
+
"row_count": 119390,
|
| 64 |
+
"columns": [
|
| 65 |
+
{
|
| 66 |
+
"name": "hotel",
|
| 67 |
+
"type": "TEXT",
|
| 68 |
+
"notnull": false,
|
| 69 |
+
"pk": false
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "is_canceled",
|
| 73 |
+
"type": "TEXT",
|
| 74 |
+
"notnull": false,
|
| 75 |
+
"pk": false
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "lead_time",
|
| 79 |
+
"type": "TEXT",
|
| 80 |
+
"notnull": false,
|
| 81 |
+
"pk": false
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "arrival_date_year",
|
| 85 |
+
"type": "TEXT",
|
| 86 |
+
"notnull": false,
|
| 87 |
+
"pk": false
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "arrival_date_month",
|
| 91 |
+
"type": "TEXT",
|
| 92 |
+
"notnull": false,
|
| 93 |
+
"pk": false
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "arrival_date_week_number",
|
| 97 |
+
"type": "TEXT",
|
| 98 |
+
"notnull": false,
|
| 99 |
+
"pk": false
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"name": "arrival_date_day_of_month",
|
| 103 |
+
"type": "TEXT",
|
| 104 |
+
"notnull": false,
|
| 105 |
+
"pk": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"name": "stays_in_weekend_nights",
|
| 109 |
+
"type": "TEXT",
|
| 110 |
+
"notnull": false,
|
| 111 |
+
"pk": false
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"name": "stays_in_week_nights",
|
| 115 |
+
"type": "TEXT",
|
| 116 |
+
"notnull": false,
|
| 117 |
+
"pk": false
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"name": "adults",
|
| 121 |
+
"type": "TEXT",
|
| 122 |
+
"notnull": false,
|
| 123 |
+
"pk": false
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"name": "children",
|
| 127 |
+
"type": "TEXT",
|
| 128 |
+
"notnull": false,
|
| 129 |
+
"pk": false
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "babies",
|
| 133 |
+
"type": "TEXT",
|
| 134 |
+
"notnull": false,
|
| 135 |
+
"pk": false
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"name": "meal",
|
| 139 |
+
"type": "TEXT",
|
| 140 |
+
"notnull": false,
|
| 141 |
+
"pk": false
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "country",
|
| 145 |
+
"type": "TEXT",
|
| 146 |
+
"notnull": false,
|
| 147 |
+
"pk": false
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"name": "market_segment",
|
| 151 |
+
"type": "TEXT",
|
| 152 |
+
"notnull": false,
|
| 153 |
+
"pk": false
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"name": "distribution_channel",
|
| 157 |
+
"type": "TEXT",
|
| 158 |
+
"notnull": false,
|
| 159 |
+
"pk": false
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"name": "is_repeated_guest",
|
| 163 |
+
"type": "TEXT",
|
| 164 |
+
"notnull": false,
|
| 165 |
+
"pk": false
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"name": "previous_cancellations",
|
| 169 |
+
"type": "TEXT",
|
| 170 |
+
"notnull": false,
|
| 171 |
+
"pk": false
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"name": "previous_bookings_not_canceled",
|
| 175 |
+
"type": "TEXT",
|
| 176 |
+
"notnull": false,
|
| 177 |
+
"pk": false
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"name": "reserved_room_type",
|
| 181 |
+
"type": "TEXT",
|
| 182 |
+
"notnull": false,
|
| 183 |
+
"pk": false
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"name": "assigned_room_type",
|
| 187 |
+
"type": "TEXT",
|
| 188 |
+
"notnull": false,
|
| 189 |
+
"pk": false
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"name": "booking_changes",
|
| 193 |
+
"type": "TEXT",
|
| 194 |
+
"notnull": false,
|
| 195 |
+
"pk": false
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"name": "deposit_type",
|
| 199 |
+
"type": "TEXT",
|
| 200 |
+
"notnull": false,
|
| 201 |
+
"pk": false
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"name": "agent",
|
| 205 |
+
"type": "TEXT",
|
| 206 |
+
"notnull": false,
|
| 207 |
+
"pk": false
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"name": "company",
|
| 211 |
+
"type": "TEXT",
|
| 212 |
+
"notnull": false,
|
| 213 |
+
"pk": false
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"name": "days_in_waiting_list",
|
| 217 |
+
"type": "TEXT",
|
| 218 |
+
"notnull": false,
|
| 219 |
+
"pk": false
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"name": "customer_type",
|
| 223 |
+
"type": "TEXT",
|
| 224 |
+
"notnull": false,
|
| 225 |
+
"pk": false
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"name": "adr",
|
| 229 |
+
"type": "TEXT",
|
| 230 |
+
"notnull": false,
|
| 231 |
+
"pk": false
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"name": "required_car_parking_spaces",
|
| 235 |
+
"type": "TEXT",
|
| 236 |
+
"notnull": false,
|
| 237 |
+
"pk": false
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"name": "total_of_special_requests",
|
| 241 |
+
"type": "TEXT",
|
| 242 |
+
"notnull": false,
|
| 243 |
+
"pk": false
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"name": "reservation_status",
|
| 247 |
+
"type": "TEXT",
|
| 248 |
+
"notnull": false,
|
| 249 |
+
"pk": false
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"name": "reservation_status_date",
|
| 253 |
+
"type": "TEXT",
|
| 254 |
+
"notnull": false,
|
| 255 |
+
"pk": false
|
| 256 |
+
}
|
| 257 |
+
],
|
| 258 |
+
"sample_rows": [
|
| 259 |
+
{
|
| 260 |
+
"hotel": "Resort Hotel",
|
| 261 |
+
"is_canceled": "0",
|
| 262 |
+
"lead_time": "342",
|
| 263 |
+
"arrival_date_year": "2015",
|
| 264 |
+
"arrival_date_month": "July",
|
| 265 |
+
"arrival_date_week_number": "27",
|
| 266 |
+
"arrival_date_day_of_month": "1",
|
| 267 |
+
"stays_in_weekend_nights": "0",
|
| 268 |
+
"stays_in_week_nights": "0",
|
| 269 |
+
"adults": "2",
|
| 270 |
+
"children": "0",
|
| 271 |
+
"babies": "0",
|
| 272 |
+
"meal": "BB",
|
| 273 |
+
"country": "PRT",
|
| 274 |
+
"market_segment": "Direct",
|
| 275 |
+
"distribution_channel": "Direct",
|
| 276 |
+
"is_repeated_guest": "0",
|
| 277 |
+
"previous_cancellations": "0",
|
| 278 |
+
"previous_bookings_not_canceled": "0",
|
| 279 |
+
"reserved_room_type": "C",
|
| 280 |
+
"assigned_room_type": "C",
|
| 281 |
+
"booking_changes": "3",
|
| 282 |
+
"deposit_type": "No Deposit",
|
| 283 |
+
"agent": "",
|
| 284 |
+
"company": "",
|
| 285 |
+
"days_in_waiting_list": "0",
|
| 286 |
+
"customer_type": "Transient",
|
| 287 |
+
"adr": "0",
|
| 288 |
+
"required_car_parking_spaces": "0",
|
| 289 |
+
"total_of_special_requests": "0",
|
| 290 |
+
"reservation_status": "Check-Out",
|
| 291 |
+
"reservation_status_date": "2015-07-01"
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"hotel": "Resort Hotel",
|
| 295 |
+
"is_canceled": "0",
|
| 296 |
+
"lead_time": "737",
|
| 297 |
+
"arrival_date_year": "2015",
|
| 298 |
+
"arrival_date_month": "July",
|
| 299 |
+
"arrival_date_week_number": "27",
|
| 300 |
+
"arrival_date_day_of_month": "1",
|
| 301 |
+
"stays_in_weekend_nights": "0",
|
| 302 |
+
"stays_in_week_nights": "0",
|
| 303 |
+
"adults": "2",
|
| 304 |
+
"children": "0",
|
| 305 |
+
"babies": "0",
|
| 306 |
+
"meal": "BB",
|
| 307 |
+
"country": "PRT",
|
| 308 |
+
"market_segment": "Direct",
|
| 309 |
+
"distribution_channel": "Direct",
|
| 310 |
+
"is_repeated_guest": "0",
|
| 311 |
+
"previous_cancellations": "0",
|
| 312 |
+
"previous_bookings_not_canceled": "0",
|
| 313 |
+
"reserved_room_type": "C",
|
| 314 |
+
"assigned_room_type": "C",
|
| 315 |
+
"booking_changes": "4",
|
| 316 |
+
"deposit_type": "No Deposit",
|
| 317 |
+
"agent": "",
|
| 318 |
+
"company": "",
|
| 319 |
+
"days_in_waiting_list": "0",
|
| 320 |
+
"customer_type": "Transient",
|
| 321 |
+
"adr": "0",
|
| 322 |
+
"required_car_parking_spaces": "0",
|
| 323 |
+
"total_of_special_requests": "0",
|
| 324 |
+
"reservation_status": "Check-Out",
|
| 325 |
+
"reservation_status_date": "2015-07-01"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"hotel": "Resort Hotel",
|
| 329 |
+
"is_canceled": "0",
|
| 330 |
+
"lead_time": "7",
|
| 331 |
+
"arrival_date_year": "2015",
|
| 332 |
+
"arrival_date_month": "July",
|
| 333 |
+
"arrival_date_week_number": "27",
|
| 334 |
+
"arrival_date_day_of_month": "1",
|
| 335 |
+
"stays_in_weekend_nights": "0",
|
| 336 |
+
"stays_in_week_nights": "1",
|
| 337 |
+
"adults": "1",
|
| 338 |
+
"children": "0",
|
| 339 |
+
"babies": "0",
|
| 340 |
+
"meal": "BB",
|
| 341 |
+
"country": "GBR",
|
| 342 |
+
"market_segment": "Direct",
|
| 343 |
+
"distribution_channel": "Direct",
|
| 344 |
+
"is_repeated_guest": "0",
|
| 345 |
+
"previous_cancellations": "0",
|
| 346 |
+
"previous_bookings_not_canceled": "0",
|
| 347 |
+
"reserved_room_type": "A",
|
| 348 |
+
"assigned_room_type": "C",
|
| 349 |
+
"booking_changes": "0",
|
| 350 |
+
"deposit_type": "No Deposit",
|
| 351 |
+
"agent": "",
|
| 352 |
+
"company": "",
|
| 353 |
+
"days_in_waiting_list": "0",
|
| 354 |
+
"customer_type": "Transient",
|
| 355 |
+
"adr": "75",
|
| 356 |
+
"required_car_parking_spaces": "0",
|
| 357 |
+
"total_of_special_requests": "0",
|
| 358 |
+
"reservation_status": "Check-Out",
|
| 359 |
+
"reservation_status_date": "2015-07-02"
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"hotel": "Resort Hotel",
|
| 363 |
+
"is_canceled": "0",
|
| 364 |
+
"lead_time": "13",
|
| 365 |
+
"arrival_date_year": "2015",
|
| 366 |
+
"arrival_date_month": "July",
|
| 367 |
+
"arrival_date_week_number": "27",
|
| 368 |
+
"arrival_date_day_of_month": "1",
|
| 369 |
+
"stays_in_weekend_nights": "0",
|
| 370 |
+
"stays_in_week_nights": "1",
|
| 371 |
+
"adults": "1",
|
| 372 |
+
"children": "0",
|
| 373 |
+
"babies": "0",
|
| 374 |
+
"meal": "BB",
|
| 375 |
+
"country": "GBR",
|
| 376 |
+
"market_segment": "Corporate",
|
| 377 |
+
"distribution_channel": "Corporate",
|
| 378 |
+
"is_repeated_guest": "0",
|
| 379 |
+
"previous_cancellations": "0",
|
| 380 |
+
"previous_bookings_not_canceled": "0",
|
| 381 |
+
"reserved_room_type": "A",
|
| 382 |
+
"assigned_room_type": "A",
|
| 383 |
+
"booking_changes": "0",
|
| 384 |
+
"deposit_type": "No Deposit",
|
| 385 |
+
"agent": "304",
|
| 386 |
+
"company": "",
|
| 387 |
+
"days_in_waiting_list": "0",
|
| 388 |
+
"customer_type": "Transient",
|
| 389 |
+
"adr": "75",
|
| 390 |
+
"required_car_parking_spaces": "0",
|
| 391 |
+
"total_of_special_requests": "0",
|
| 392 |
+
"reservation_status": "Check-Out",
|
| 393 |
+
"reservation_status_date": "2015-07-02"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"hotel": "Resort Hotel",
|
| 397 |
+
"is_canceled": "0",
|
| 398 |
+
"lead_time": "14",
|
| 399 |
+
"arrival_date_year": "2015",
|
| 400 |
+
"arrival_date_month": "July",
|
| 401 |
+
"arrival_date_week_number": "27",
|
| 402 |
+
"arrival_date_day_of_month": "1",
|
| 403 |
+
"stays_in_weekend_nights": "0",
|
| 404 |
+
"stays_in_week_nights": "2",
|
| 405 |
+
"adults": "2",
|
| 406 |
+
"children": "0",
|
| 407 |
+
"babies": "0",
|
| 408 |
+
"meal": "BB",
|
| 409 |
+
"country": "GBR",
|
| 410 |
+
"market_segment": "Online TA",
|
| 411 |
+
"distribution_channel": "TA/TO",
|
| 412 |
+
"is_repeated_guest": "0",
|
| 413 |
+
"previous_cancellations": "0",
|
| 414 |
+
"previous_bookings_not_canceled": "0",
|
| 415 |
+
"reserved_room_type": "A",
|
| 416 |
+
"assigned_room_type": "A",
|
| 417 |
+
"booking_changes": "0",
|
| 418 |
+
"deposit_type": "No Deposit",
|
| 419 |
+
"agent": "240",
|
| 420 |
+
"company": "",
|
| 421 |
+
"days_in_waiting_list": "0",
|
| 422 |
+
"customer_type": "Transient",
|
| 423 |
+
"adr": "98",
|
| 424 |
+
"required_car_parking_spaces": "0",
|
| 425 |
+
"total_of_special_requests": "1",
|
| 426 |
+
"reservation_status": "Check-Out",
|
| 427 |
+
"reservation_status_date": "2015-07-03"
|
| 428 |
+
}
|
| 429 |
+
]
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
Shortlisted templates:
|
| 433 |
+
[
|
| 434 |
+
{
|
| 435 |
+
"template_id": "tpl_grouped_percentile_point",
|
| 436 |
+
"template_name": "Grouped Percentile Point",
|
| 437 |
+
"primary_family": "tail_rarity_structure",
|
| 438 |
+
"portability": "yes",
|
| 439 |
+
"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;",
|
| 440 |
+
"required_roles": [
|
| 441 |
+
"group_col",
|
| 442 |
+
"measure_col"
|
| 443 |
+
]
|
| 444 |
+
}
|
| 445 |
+
]
|
| 446 |
+
|
| 447 |
+
Problem instance:
|
| 448 |
+
{
|
| 449 |
+
"dataset_id": "m12",
|
| 450 |
+
"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.",
|
| 451 |
+
"planned_template_id": "tpl_grouped_percentile_point",
|
| 452 |
+
"bindings": {
|
| 453 |
+
"group_col": "arrival_date_year",
|
| 454 |
+
"measure_col": "lead_time",
|
| 455 |
+
"top_k": 14,
|
| 456 |
+
"top_n": 3,
|
| 457 |
+
"num_tiles": 10,
|
| 458 |
+
"percentile_value": 0.95,
|
| 459 |
+
"z_threshold": 2.0,
|
| 460 |
+
"fraction_threshold": 0.1,
|
| 461 |
+
"baseline_multiplier": 1.5,
|
| 462 |
+
"baseline_fraction": 0.1,
|
| 463 |
+
"min_group_size": 5,
|
| 464 |
+
"min_support": 5,
|
| 465 |
+
"measure_threshold": 53.0,
|
| 466 |
+
"time_grain": "month",
|
| 467 |
+
"lookback_rows": 3,
|
| 468 |
+
"current_period_start": "'2024-01-01'",
|
| 469 |
+
"current_period_end": "'2024-04-01'",
|
| 470 |
+
"previous_period_start": "'2023-10-01'",
|
| 471 |
+
"previous_period_end": "'2024-01-01'",
|
| 472 |
+
"drift_ratio_threshold": 0.8
|
| 473 |
+
},
|
| 474 |
+
"can_vary": [],
|
| 475 |
+
"must_fix": [],
|
| 476 |
+
"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;"
|
| 477 |
+
}
|
| 478 |
+
|
| 479 |
+
Repair context:
|
| 480 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f0-ab17-7fd2-8f4b-b051c87bd344"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f0-ab17-7fd2-8f4b-b051c87bd344"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_2.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f0-bc7e-7eb2-924d-c8d5cd74e2cb"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"arrival_date_year\\\",\\n CAST(\\\"lead_time\\\" AS REAL) AS \\\"lead_time_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"arrival_date_year\\\"\\n ORDER BY CAST(\\\"lead_time\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"arrival_date_year\\\") AS \\\"cnt\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"arrival_date_year\\\" IS NOT NULL\\n AND TRIM(\\\"arrival_date_year\\\") <> ''\\n AND \\\"lead_time\\\" IS NOT NULL\\n AND TRIM(\\\"lead_time\\\") <> ''\\n),\\n\\\"thresholded\\\" AS (\\n SELECT\\n \\\"arrival_date_year\\\",\\n \\\"lead_time_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"arrival_date_year\\\",\\n MIN(\\\"lead_time_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"thresholded\\\"\\nWHERE \\\"rn\\\" >= \\\"target_rn\\\"\\nGROUP BY \\\"arrival_date_year\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 percentile per arrival_date_year by selecting the smallest lead_time at or above the 95th-percentile rank. \\\"lead_time\\\" is cast from TEXT to REAL for numeric ordering.\"}"}}
|
| 4 |
+
{"type":"turn.completed","usage":{"input_tokens":16695,"cached_input_tokens":15744,"output_tokens":863,"reasoning_output_tokens":516}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_response_attempt_2.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"arrival_date_year\",\n CAST(\"lead_time\" AS REAL) AS \"lead_time_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"arrival_date_year\"\n ORDER BY CAST(\"lead_time\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"arrival_date_year\") AS \"cnt\"\n FROM \"m12\"\n WHERE \"arrival_date_year\" IS NOT NULL\n AND TRIM(\"arrival_date_year\") <> ''\n AND \"lead_time\" IS NOT NULL\n AND TRIM(\"lead_time\") <> ''\n),\n\"thresholded\" AS (\n SELECT\n \"arrival_date_year\",\n \"lead_time_value\",\n \"rn\",\n \"cnt\",\n CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"arrival_date_year\",\n MIN(\"lead_time_value\") AS \"percentile_measure\"\nFROM \"thresholded\"\nWHERE \"rn\" >= \"target_rn\"\nGROUP BY \"arrival_date_year\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 percentile per arrival_date_year by selecting the smallest lead_time at or above the 95th-percentile rank. \"lead_time\" is cast from TEXT to REAL for numeric ordering."}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/cli/sql_stderr_attempt_2.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"attempt": 1,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T15:52:18.503622+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T15:52:21.860527+00:00",
|
| 7 |
+
"elapsed_ms": 3356.88,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 17464,
|
| 11 |
+
"bytes_utf8": 17464,
|
| 12 |
+
"lines": 480,
|
| 13 |
+
"estimated_tokens": null
|
| 14 |
+
},
|
| 15 |
+
"stdout_metrics": {
|
| 16 |
+
"chars": 281,
|
| 17 |
+
"bytes_utf8": 281,
|
| 18 |
+
"lines": 4,
|
| 19 |
+
"estimated_tokens": null
|
| 20 |
+
},
|
| 21 |
+
"stderr_metrics": {
|
| 22 |
+
"chars": 0,
|
| 23 |
+
"bytes_utf8": 0,
|
| 24 |
+
"lines": 0,
|
| 25 |
+
"estimated_tokens": null
|
| 26 |
+
},
|
| 27 |
+
"parsed_output": {
|
| 28 |
+
"format": "jsonl_events",
|
| 29 |
+
"text_metrics": {
|
| 30 |
+
"chars": 280,
|
| 31 |
+
"bytes_utf8": 280,
|
| 32 |
+
"lines": 4,
|
| 33 |
+
"estimated_tokens": null
|
| 34 |
+
},
|
| 35 |
+
"usage": {}
|
| 36 |
+
},
|
| 37 |
+
"status": "failed",
|
| 38 |
+
"error": "AI CLI command failed with exit code 1: ",
|
| 39 |
+
"prompt_path": "cli/sql_prompt_attempt_1.txt",
|
| 40 |
+
"response_path": "cli/sql_response_attempt_1.txt",
|
| 41 |
+
"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
|
| 42 |
+
"stderr_path": "cli/sql_stderr_attempt_1.txt"
|
| 43 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_attempt_2.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
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|
| 1 |
+
{
|
| 2 |
+
"attempt": 2,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T15:52:22.863097+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T15:52:26.151476+00:00",
|
| 7 |
+
"elapsed_ms": 3288.34,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 17464,
|
| 11 |
+
"bytes_utf8": 17464,
|
| 12 |
+
"lines": 480,
|
| 13 |
+
"estimated_tokens": null
|
| 14 |
+
},
|
| 15 |
+
"stdout_metrics": {
|
| 16 |
+
"chars": 281,
|
| 17 |
+
"bytes_utf8": 281,
|
| 18 |
+
"lines": 4,
|
| 19 |
+
"estimated_tokens": null
|
| 20 |
+
},
|
| 21 |
+
"stderr_metrics": {
|
| 22 |
+
"chars": 0,
|
| 23 |
+
"bytes_utf8": 0,
|
| 24 |
+
"lines": 0,
|
| 25 |
+
"estimated_tokens": null
|
| 26 |
+
},
|
| 27 |
+
"parsed_output": {
|
| 28 |
+
"format": "jsonl_events",
|
| 29 |
+
"text_metrics": {
|
| 30 |
+
"chars": 280,
|
| 31 |
+
"bytes_utf8": 280,
|
| 32 |
+
"lines": 4,
|
| 33 |
+
"estimated_tokens": null
|
| 34 |
+
},
|
| 35 |
+
"usage": {}
|
| 36 |
+
},
|
| 37 |
+
"status": "failed",
|
| 38 |
+
"error": "AI CLI command failed with exit code 1: ",
|
| 39 |
+
"prompt_path": "cli/sql_prompt_attempt_2.txt",
|
| 40 |
+
"response_path": "cli/sql_response_attempt_2.txt",
|
| 41 |
+
"raw_response_path": "cli/sql_response_attempt_2.raw.txt",
|
| 42 |
+
"stderr_path": "cli/sql_stderr_attempt_2.txt"
|
| 43 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_prompt_attempt_1.txt
ADDED
|
@@ -0,0 +1,480 @@
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|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m12
|
| 15 |
+
- dataset_name: Hotel Booking Demand
|
| 16 |
+
- table_name: m12
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: customer_type
|
| 21 |
+
- main_row_count: 119390
|
| 22 |
+
- important_fields:
|
| 23 |
+
- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel.
|
| 24 |
+
- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled.
|
| 25 |
+
- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time.
|
| 26 |
+
- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year.
|
| 27 |
+
- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month.
|
| 28 |
+
- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number.
|
| 29 |
+
- 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.
|
| 30 |
+
- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights.
|
| 31 |
+
- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights.
|
| 32 |
+
- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults.
|
| 33 |
+
- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children.
|
| 34 |
+
- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies.
|
| 35 |
+
- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal.
|
| 36 |
+
- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country.
|
| 37 |
+
- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment.
|
| 38 |
+
- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel.
|
| 39 |
+
- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest.
|
| 40 |
+
- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations.
|
| 41 |
+
- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled.
|
| 42 |
+
- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type.
|
| 43 |
+
- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type.
|
| 44 |
+
- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes.
|
| 45 |
+
- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type.
|
| 46 |
+
- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent.
|
| 47 |
+
- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company.
|
| 48 |
+
- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list.
|
| 49 |
+
- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type.
|
| 50 |
+
- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr.
|
| 51 |
+
- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces.
|
| 52 |
+
- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests.
|
| 53 |
+
- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status.
|
| 54 |
+
- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date.
|
| 55 |
+
- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']]
|
| 56 |
+
- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country']
|
| 57 |
+
- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
|
| 58 |
+
|
| 59 |
+
SQLite schema snapshot:
|
| 60 |
+
{
|
| 61 |
+
"table_name": "m12",
|
| 62 |
+
"quoted_table_name": "\"m12\"",
|
| 63 |
+
"row_count": 119390,
|
| 64 |
+
"columns": [
|
| 65 |
+
{
|
| 66 |
+
"name": "hotel",
|
| 67 |
+
"type": "TEXT",
|
| 68 |
+
"notnull": false,
|
| 69 |
+
"pk": false
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "is_canceled",
|
| 73 |
+
"type": "TEXT",
|
| 74 |
+
"notnull": false,
|
| 75 |
+
"pk": false
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "lead_time",
|
| 79 |
+
"type": "TEXT",
|
| 80 |
+
"notnull": false,
|
| 81 |
+
"pk": false
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "arrival_date_year",
|
| 85 |
+
"type": "TEXT",
|
| 86 |
+
"notnull": false,
|
| 87 |
+
"pk": false
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "arrival_date_month",
|
| 91 |
+
"type": "TEXT",
|
| 92 |
+
"notnull": false,
|
| 93 |
+
"pk": false
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "arrival_date_week_number",
|
| 97 |
+
"type": "TEXT",
|
| 98 |
+
"notnull": false,
|
| 99 |
+
"pk": false
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"name": "arrival_date_day_of_month",
|
| 103 |
+
"type": "TEXT",
|
| 104 |
+
"notnull": false,
|
| 105 |
+
"pk": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"name": "stays_in_weekend_nights",
|
| 109 |
+
"type": "TEXT",
|
| 110 |
+
"notnull": false,
|
| 111 |
+
"pk": false
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"name": "stays_in_week_nights",
|
| 115 |
+
"type": "TEXT",
|
| 116 |
+
"notnull": false,
|
| 117 |
+
"pk": false
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"name": "adults",
|
| 121 |
+
"type": "TEXT",
|
| 122 |
+
"notnull": false,
|
| 123 |
+
"pk": false
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"name": "children",
|
| 127 |
+
"type": "TEXT",
|
| 128 |
+
"notnull": false,
|
| 129 |
+
"pk": false
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "babies",
|
| 133 |
+
"type": "TEXT",
|
| 134 |
+
"notnull": false,
|
| 135 |
+
"pk": false
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"name": "meal",
|
| 139 |
+
"type": "TEXT",
|
| 140 |
+
"notnull": false,
|
| 141 |
+
"pk": false
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "country",
|
| 145 |
+
"type": "TEXT",
|
| 146 |
+
"notnull": false,
|
| 147 |
+
"pk": false
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"name": "market_segment",
|
| 151 |
+
"type": "TEXT",
|
| 152 |
+
"notnull": false,
|
| 153 |
+
"pk": false
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"name": "distribution_channel",
|
| 157 |
+
"type": "TEXT",
|
| 158 |
+
"notnull": false,
|
| 159 |
+
"pk": false
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"name": "is_repeated_guest",
|
| 163 |
+
"type": "TEXT",
|
| 164 |
+
"notnull": false,
|
| 165 |
+
"pk": false
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"name": "previous_cancellations",
|
| 169 |
+
"type": "TEXT",
|
| 170 |
+
"notnull": false,
|
| 171 |
+
"pk": false
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"name": "previous_bookings_not_canceled",
|
| 175 |
+
"type": "TEXT",
|
| 176 |
+
"notnull": false,
|
| 177 |
+
"pk": false
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"name": "reserved_room_type",
|
| 181 |
+
"type": "TEXT",
|
| 182 |
+
"notnull": false,
|
| 183 |
+
"pk": false
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"name": "assigned_room_type",
|
| 187 |
+
"type": "TEXT",
|
| 188 |
+
"notnull": false,
|
| 189 |
+
"pk": false
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"name": "booking_changes",
|
| 193 |
+
"type": "TEXT",
|
| 194 |
+
"notnull": false,
|
| 195 |
+
"pk": false
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"name": "deposit_type",
|
| 199 |
+
"type": "TEXT",
|
| 200 |
+
"notnull": false,
|
| 201 |
+
"pk": false
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"name": "agent",
|
| 205 |
+
"type": "TEXT",
|
| 206 |
+
"notnull": false,
|
| 207 |
+
"pk": false
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"name": "company",
|
| 211 |
+
"type": "TEXT",
|
| 212 |
+
"notnull": false,
|
| 213 |
+
"pk": false
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"name": "days_in_waiting_list",
|
| 217 |
+
"type": "TEXT",
|
| 218 |
+
"notnull": false,
|
| 219 |
+
"pk": false
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"name": "customer_type",
|
| 223 |
+
"type": "TEXT",
|
| 224 |
+
"notnull": false,
|
| 225 |
+
"pk": false
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"name": "adr",
|
| 229 |
+
"type": "TEXT",
|
| 230 |
+
"notnull": false,
|
| 231 |
+
"pk": false
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"name": "required_car_parking_spaces",
|
| 235 |
+
"type": "TEXT",
|
| 236 |
+
"notnull": false,
|
| 237 |
+
"pk": false
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"name": "total_of_special_requests",
|
| 241 |
+
"type": "TEXT",
|
| 242 |
+
"notnull": false,
|
| 243 |
+
"pk": false
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"name": "reservation_status",
|
| 247 |
+
"type": "TEXT",
|
| 248 |
+
"notnull": false,
|
| 249 |
+
"pk": false
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"name": "reservation_status_date",
|
| 253 |
+
"type": "TEXT",
|
| 254 |
+
"notnull": false,
|
| 255 |
+
"pk": false
|
| 256 |
+
}
|
| 257 |
+
],
|
| 258 |
+
"sample_rows": [
|
| 259 |
+
{
|
| 260 |
+
"hotel": "Resort Hotel",
|
| 261 |
+
"is_canceled": "0",
|
| 262 |
+
"lead_time": "342",
|
| 263 |
+
"arrival_date_year": "2015",
|
| 264 |
+
"arrival_date_month": "July",
|
| 265 |
+
"arrival_date_week_number": "27",
|
| 266 |
+
"arrival_date_day_of_month": "1",
|
| 267 |
+
"stays_in_weekend_nights": "0",
|
| 268 |
+
"stays_in_week_nights": "0",
|
| 269 |
+
"adults": "2",
|
| 270 |
+
"children": "0",
|
| 271 |
+
"babies": "0",
|
| 272 |
+
"meal": "BB",
|
| 273 |
+
"country": "PRT",
|
| 274 |
+
"market_segment": "Direct",
|
| 275 |
+
"distribution_channel": "Direct",
|
| 276 |
+
"is_repeated_guest": "0",
|
| 277 |
+
"previous_cancellations": "0",
|
| 278 |
+
"previous_bookings_not_canceled": "0",
|
| 279 |
+
"reserved_room_type": "C",
|
| 280 |
+
"assigned_room_type": "C",
|
| 281 |
+
"booking_changes": "3",
|
| 282 |
+
"deposit_type": "No Deposit",
|
| 283 |
+
"agent": "",
|
| 284 |
+
"company": "",
|
| 285 |
+
"days_in_waiting_list": "0",
|
| 286 |
+
"customer_type": "Transient",
|
| 287 |
+
"adr": "0",
|
| 288 |
+
"required_car_parking_spaces": "0",
|
| 289 |
+
"total_of_special_requests": "0",
|
| 290 |
+
"reservation_status": "Check-Out",
|
| 291 |
+
"reservation_status_date": "2015-07-01"
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"hotel": "Resort Hotel",
|
| 295 |
+
"is_canceled": "0",
|
| 296 |
+
"lead_time": "737",
|
| 297 |
+
"arrival_date_year": "2015",
|
| 298 |
+
"arrival_date_month": "July",
|
| 299 |
+
"arrival_date_week_number": "27",
|
| 300 |
+
"arrival_date_day_of_month": "1",
|
| 301 |
+
"stays_in_weekend_nights": "0",
|
| 302 |
+
"stays_in_week_nights": "0",
|
| 303 |
+
"adults": "2",
|
| 304 |
+
"children": "0",
|
| 305 |
+
"babies": "0",
|
| 306 |
+
"meal": "BB",
|
| 307 |
+
"country": "PRT",
|
| 308 |
+
"market_segment": "Direct",
|
| 309 |
+
"distribution_channel": "Direct",
|
| 310 |
+
"is_repeated_guest": "0",
|
| 311 |
+
"previous_cancellations": "0",
|
| 312 |
+
"previous_bookings_not_canceled": "0",
|
| 313 |
+
"reserved_room_type": "C",
|
| 314 |
+
"assigned_room_type": "C",
|
| 315 |
+
"booking_changes": "4",
|
| 316 |
+
"deposit_type": "No Deposit",
|
| 317 |
+
"agent": "",
|
| 318 |
+
"company": "",
|
| 319 |
+
"days_in_waiting_list": "0",
|
| 320 |
+
"customer_type": "Transient",
|
| 321 |
+
"adr": "0",
|
| 322 |
+
"required_car_parking_spaces": "0",
|
| 323 |
+
"total_of_special_requests": "0",
|
| 324 |
+
"reservation_status": "Check-Out",
|
| 325 |
+
"reservation_status_date": "2015-07-01"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"hotel": "Resort Hotel",
|
| 329 |
+
"is_canceled": "0",
|
| 330 |
+
"lead_time": "7",
|
| 331 |
+
"arrival_date_year": "2015",
|
| 332 |
+
"arrival_date_month": "July",
|
| 333 |
+
"arrival_date_week_number": "27",
|
| 334 |
+
"arrival_date_day_of_month": "1",
|
| 335 |
+
"stays_in_weekend_nights": "0",
|
| 336 |
+
"stays_in_week_nights": "1",
|
| 337 |
+
"adults": "1",
|
| 338 |
+
"children": "0",
|
| 339 |
+
"babies": "0",
|
| 340 |
+
"meal": "BB",
|
| 341 |
+
"country": "GBR",
|
| 342 |
+
"market_segment": "Direct",
|
| 343 |
+
"distribution_channel": "Direct",
|
| 344 |
+
"is_repeated_guest": "0",
|
| 345 |
+
"previous_cancellations": "0",
|
| 346 |
+
"previous_bookings_not_canceled": "0",
|
| 347 |
+
"reserved_room_type": "A",
|
| 348 |
+
"assigned_room_type": "C",
|
| 349 |
+
"booking_changes": "0",
|
| 350 |
+
"deposit_type": "No Deposit",
|
| 351 |
+
"agent": "",
|
| 352 |
+
"company": "",
|
| 353 |
+
"days_in_waiting_list": "0",
|
| 354 |
+
"customer_type": "Transient",
|
| 355 |
+
"adr": "75",
|
| 356 |
+
"required_car_parking_spaces": "0",
|
| 357 |
+
"total_of_special_requests": "0",
|
| 358 |
+
"reservation_status": "Check-Out",
|
| 359 |
+
"reservation_status_date": "2015-07-02"
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"hotel": "Resort Hotel",
|
| 363 |
+
"is_canceled": "0",
|
| 364 |
+
"lead_time": "13",
|
| 365 |
+
"arrival_date_year": "2015",
|
| 366 |
+
"arrival_date_month": "July",
|
| 367 |
+
"arrival_date_week_number": "27",
|
| 368 |
+
"arrival_date_day_of_month": "1",
|
| 369 |
+
"stays_in_weekend_nights": "0",
|
| 370 |
+
"stays_in_week_nights": "1",
|
| 371 |
+
"adults": "1",
|
| 372 |
+
"children": "0",
|
| 373 |
+
"babies": "0",
|
| 374 |
+
"meal": "BB",
|
| 375 |
+
"country": "GBR",
|
| 376 |
+
"market_segment": "Corporate",
|
| 377 |
+
"distribution_channel": "Corporate",
|
| 378 |
+
"is_repeated_guest": "0",
|
| 379 |
+
"previous_cancellations": "0",
|
| 380 |
+
"previous_bookings_not_canceled": "0",
|
| 381 |
+
"reserved_room_type": "A",
|
| 382 |
+
"assigned_room_type": "A",
|
| 383 |
+
"booking_changes": "0",
|
| 384 |
+
"deposit_type": "No Deposit",
|
| 385 |
+
"agent": "304",
|
| 386 |
+
"company": "",
|
| 387 |
+
"days_in_waiting_list": "0",
|
| 388 |
+
"customer_type": "Transient",
|
| 389 |
+
"adr": "75",
|
| 390 |
+
"required_car_parking_spaces": "0",
|
| 391 |
+
"total_of_special_requests": "0",
|
| 392 |
+
"reservation_status": "Check-Out",
|
| 393 |
+
"reservation_status_date": "2015-07-02"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"hotel": "Resort Hotel",
|
| 397 |
+
"is_canceled": "0",
|
| 398 |
+
"lead_time": "14",
|
| 399 |
+
"arrival_date_year": "2015",
|
| 400 |
+
"arrival_date_month": "July",
|
| 401 |
+
"arrival_date_week_number": "27",
|
| 402 |
+
"arrival_date_day_of_month": "1",
|
| 403 |
+
"stays_in_weekend_nights": "0",
|
| 404 |
+
"stays_in_week_nights": "2",
|
| 405 |
+
"adults": "2",
|
| 406 |
+
"children": "0",
|
| 407 |
+
"babies": "0",
|
| 408 |
+
"meal": "BB",
|
| 409 |
+
"country": "GBR",
|
| 410 |
+
"market_segment": "Online TA",
|
| 411 |
+
"distribution_channel": "TA/TO",
|
| 412 |
+
"is_repeated_guest": "0",
|
| 413 |
+
"previous_cancellations": "0",
|
| 414 |
+
"previous_bookings_not_canceled": "0",
|
| 415 |
+
"reserved_room_type": "A",
|
| 416 |
+
"assigned_room_type": "A",
|
| 417 |
+
"booking_changes": "0",
|
| 418 |
+
"deposit_type": "No Deposit",
|
| 419 |
+
"agent": "240",
|
| 420 |
+
"company": "",
|
| 421 |
+
"days_in_waiting_list": "0",
|
| 422 |
+
"customer_type": "Transient",
|
| 423 |
+
"adr": "98",
|
| 424 |
+
"required_car_parking_spaces": "0",
|
| 425 |
+
"total_of_special_requests": "1",
|
| 426 |
+
"reservation_status": "Check-Out",
|
| 427 |
+
"reservation_status_date": "2015-07-03"
|
| 428 |
+
}
|
| 429 |
+
]
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
Shortlisted templates:
|
| 433 |
+
[
|
| 434 |
+
{
|
| 435 |
+
"template_id": "tpl_tpch_relative_total_threshold",
|
| 436 |
+
"template_name": "Relative-to-Total Extreme Threshold",
|
| 437 |
+
"primary_family": "tail_rarity_structure",
|
| 438 |
+
"portability": "partial",
|
| 439 |
+
"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;",
|
| 440 |
+
"required_roles": [
|
| 441 |
+
"group_col",
|
| 442 |
+
"measure_col"
|
| 443 |
+
]
|
| 444 |
+
}
|
| 445 |
+
]
|
| 446 |
+
|
| 447 |
+
Problem instance:
|
| 448 |
+
{
|
| 449 |
+
"dataset_id": "m12",
|
| 450 |
+
"question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=reservation_status, measure_col=company.",
|
| 451 |
+
"planned_template_id": "tpl_tpch_relative_total_threshold",
|
| 452 |
+
"bindings": {
|
| 453 |
+
"group_col": "reservation_status",
|
| 454 |
+
"measure_col": "company",
|
| 455 |
+
"top_k": 15,
|
| 456 |
+
"top_n": 4,
|
| 457 |
+
"num_tiles": 10,
|
| 458 |
+
"percentile_value": 0.9,
|
| 459 |
+
"z_threshold": 2.0,
|
| 460 |
+
"fraction_threshold": 0.05,
|
| 461 |
+
"baseline_multiplier": 1.75,
|
| 462 |
+
"baseline_fraction": 0.1,
|
| 463 |
+
"min_group_size": 5,
|
| 464 |
+
"min_support": 4,
|
| 465 |
+
"measure_threshold": 197.8,
|
| 466 |
+
"time_grain": "month",
|
| 467 |
+
"lookback_rows": 3,
|
| 468 |
+
"current_period_start": "'2024-01-01'",
|
| 469 |
+
"current_period_end": "'2024-04-01'",
|
| 470 |
+
"previous_period_start": "'2023-10-01'",
|
| 471 |
+
"previous_period_end": "'2024-01-01'",
|
| 472 |
+
"drift_ratio_threshold": 0.8
|
| 473 |
+
},
|
| 474 |
+
"can_vary": [],
|
| 475 |
+
"must_fix": [],
|
| 476 |
+
"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;"
|
| 477 |
+
}
|
| 478 |
+
|
| 479 |
+
Repair context:
|
| 480 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_prompt_attempt_2.txt
ADDED
|
@@ -0,0 +1,480 @@
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|
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|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m12
|
| 15 |
+
- dataset_name: Hotel Booking Demand
|
| 16 |
+
- table_name: m12
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: customer_type
|
| 21 |
+
- main_row_count: 119390
|
| 22 |
+
- important_fields:
|
| 23 |
+
- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel.
|
| 24 |
+
- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled.
|
| 25 |
+
- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time.
|
| 26 |
+
- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year.
|
| 27 |
+
- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month.
|
| 28 |
+
- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number.
|
| 29 |
+
- 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.
|
| 30 |
+
- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights.
|
| 31 |
+
- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights.
|
| 32 |
+
- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults.
|
| 33 |
+
- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children.
|
| 34 |
+
- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies.
|
| 35 |
+
- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal.
|
| 36 |
+
- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country.
|
| 37 |
+
- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment.
|
| 38 |
+
- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel.
|
| 39 |
+
- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest.
|
| 40 |
+
- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations.
|
| 41 |
+
- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled.
|
| 42 |
+
- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type.
|
| 43 |
+
- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type.
|
| 44 |
+
- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes.
|
| 45 |
+
- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type.
|
| 46 |
+
- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent.
|
| 47 |
+
- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company.
|
| 48 |
+
- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list.
|
| 49 |
+
- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type.
|
| 50 |
+
- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr.
|
| 51 |
+
- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces.
|
| 52 |
+
- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests.
|
| 53 |
+
- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status.
|
| 54 |
+
- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date.
|
| 55 |
+
- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']]
|
| 56 |
+
- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country']
|
| 57 |
+
- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
|
| 58 |
+
|
| 59 |
+
SQLite schema snapshot:
|
| 60 |
+
{
|
| 61 |
+
"table_name": "m12",
|
| 62 |
+
"quoted_table_name": "\"m12\"",
|
| 63 |
+
"row_count": 119390,
|
| 64 |
+
"columns": [
|
| 65 |
+
{
|
| 66 |
+
"name": "hotel",
|
| 67 |
+
"type": "TEXT",
|
| 68 |
+
"notnull": false,
|
| 69 |
+
"pk": false
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "is_canceled",
|
| 73 |
+
"type": "TEXT",
|
| 74 |
+
"notnull": false,
|
| 75 |
+
"pk": false
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "lead_time",
|
| 79 |
+
"type": "TEXT",
|
| 80 |
+
"notnull": false,
|
| 81 |
+
"pk": false
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "arrival_date_year",
|
| 85 |
+
"type": "TEXT",
|
| 86 |
+
"notnull": false,
|
| 87 |
+
"pk": false
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "arrival_date_month",
|
| 91 |
+
"type": "TEXT",
|
| 92 |
+
"notnull": false,
|
| 93 |
+
"pk": false
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "arrival_date_week_number",
|
| 97 |
+
"type": "TEXT",
|
| 98 |
+
"notnull": false,
|
| 99 |
+
"pk": false
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"name": "arrival_date_day_of_month",
|
| 103 |
+
"type": "TEXT",
|
| 104 |
+
"notnull": false,
|
| 105 |
+
"pk": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"name": "stays_in_weekend_nights",
|
| 109 |
+
"type": "TEXT",
|
| 110 |
+
"notnull": false,
|
| 111 |
+
"pk": false
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"name": "stays_in_week_nights",
|
| 115 |
+
"type": "TEXT",
|
| 116 |
+
"notnull": false,
|
| 117 |
+
"pk": false
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"name": "adults",
|
| 121 |
+
"type": "TEXT",
|
| 122 |
+
"notnull": false,
|
| 123 |
+
"pk": false
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"name": "children",
|
| 127 |
+
"type": "TEXT",
|
| 128 |
+
"notnull": false,
|
| 129 |
+
"pk": false
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "babies",
|
| 133 |
+
"type": "TEXT",
|
| 134 |
+
"notnull": false,
|
| 135 |
+
"pk": false
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"name": "meal",
|
| 139 |
+
"type": "TEXT",
|
| 140 |
+
"notnull": false,
|
| 141 |
+
"pk": false
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "country",
|
| 145 |
+
"type": "TEXT",
|
| 146 |
+
"notnull": false,
|
| 147 |
+
"pk": false
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"name": "market_segment",
|
| 151 |
+
"type": "TEXT",
|
| 152 |
+
"notnull": false,
|
| 153 |
+
"pk": false
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"name": "distribution_channel",
|
| 157 |
+
"type": "TEXT",
|
| 158 |
+
"notnull": false,
|
| 159 |
+
"pk": false
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"name": "is_repeated_guest",
|
| 163 |
+
"type": "TEXT",
|
| 164 |
+
"notnull": false,
|
| 165 |
+
"pk": false
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"name": "previous_cancellations",
|
| 169 |
+
"type": "TEXT",
|
| 170 |
+
"notnull": false,
|
| 171 |
+
"pk": false
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"name": "previous_bookings_not_canceled",
|
| 175 |
+
"type": "TEXT",
|
| 176 |
+
"notnull": false,
|
| 177 |
+
"pk": false
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"name": "reserved_room_type",
|
| 181 |
+
"type": "TEXT",
|
| 182 |
+
"notnull": false,
|
| 183 |
+
"pk": false
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"name": "assigned_room_type",
|
| 187 |
+
"type": "TEXT",
|
| 188 |
+
"notnull": false,
|
| 189 |
+
"pk": false
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"name": "booking_changes",
|
| 193 |
+
"type": "TEXT",
|
| 194 |
+
"notnull": false,
|
| 195 |
+
"pk": false
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"name": "deposit_type",
|
| 199 |
+
"type": "TEXT",
|
| 200 |
+
"notnull": false,
|
| 201 |
+
"pk": false
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"name": "agent",
|
| 205 |
+
"type": "TEXT",
|
| 206 |
+
"notnull": false,
|
| 207 |
+
"pk": false
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"name": "company",
|
| 211 |
+
"type": "TEXT",
|
| 212 |
+
"notnull": false,
|
| 213 |
+
"pk": false
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"name": "days_in_waiting_list",
|
| 217 |
+
"type": "TEXT",
|
| 218 |
+
"notnull": false,
|
| 219 |
+
"pk": false
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"name": "customer_type",
|
| 223 |
+
"type": "TEXT",
|
| 224 |
+
"notnull": false,
|
| 225 |
+
"pk": false
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"name": "adr",
|
| 229 |
+
"type": "TEXT",
|
| 230 |
+
"notnull": false,
|
| 231 |
+
"pk": false
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"name": "required_car_parking_spaces",
|
| 235 |
+
"type": "TEXT",
|
| 236 |
+
"notnull": false,
|
| 237 |
+
"pk": false
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"name": "total_of_special_requests",
|
| 241 |
+
"type": "TEXT",
|
| 242 |
+
"notnull": false,
|
| 243 |
+
"pk": false
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"name": "reservation_status",
|
| 247 |
+
"type": "TEXT",
|
| 248 |
+
"notnull": false,
|
| 249 |
+
"pk": false
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"name": "reservation_status_date",
|
| 253 |
+
"type": "TEXT",
|
| 254 |
+
"notnull": false,
|
| 255 |
+
"pk": false
|
| 256 |
+
}
|
| 257 |
+
],
|
| 258 |
+
"sample_rows": [
|
| 259 |
+
{
|
| 260 |
+
"hotel": "Resort Hotel",
|
| 261 |
+
"is_canceled": "0",
|
| 262 |
+
"lead_time": "342",
|
| 263 |
+
"arrival_date_year": "2015",
|
| 264 |
+
"arrival_date_month": "July",
|
| 265 |
+
"arrival_date_week_number": "27",
|
| 266 |
+
"arrival_date_day_of_month": "1",
|
| 267 |
+
"stays_in_weekend_nights": "0",
|
| 268 |
+
"stays_in_week_nights": "0",
|
| 269 |
+
"adults": "2",
|
| 270 |
+
"children": "0",
|
| 271 |
+
"babies": "0",
|
| 272 |
+
"meal": "BB",
|
| 273 |
+
"country": "PRT",
|
| 274 |
+
"market_segment": "Direct",
|
| 275 |
+
"distribution_channel": "Direct",
|
| 276 |
+
"is_repeated_guest": "0",
|
| 277 |
+
"previous_cancellations": "0",
|
| 278 |
+
"previous_bookings_not_canceled": "0",
|
| 279 |
+
"reserved_room_type": "C",
|
| 280 |
+
"assigned_room_type": "C",
|
| 281 |
+
"booking_changes": "3",
|
| 282 |
+
"deposit_type": "No Deposit",
|
| 283 |
+
"agent": "",
|
| 284 |
+
"company": "",
|
| 285 |
+
"days_in_waiting_list": "0",
|
| 286 |
+
"customer_type": "Transient",
|
| 287 |
+
"adr": "0",
|
| 288 |
+
"required_car_parking_spaces": "0",
|
| 289 |
+
"total_of_special_requests": "0",
|
| 290 |
+
"reservation_status": "Check-Out",
|
| 291 |
+
"reservation_status_date": "2015-07-01"
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"hotel": "Resort Hotel",
|
| 295 |
+
"is_canceled": "0",
|
| 296 |
+
"lead_time": "737",
|
| 297 |
+
"arrival_date_year": "2015",
|
| 298 |
+
"arrival_date_month": "July",
|
| 299 |
+
"arrival_date_week_number": "27",
|
| 300 |
+
"arrival_date_day_of_month": "1",
|
| 301 |
+
"stays_in_weekend_nights": "0",
|
| 302 |
+
"stays_in_week_nights": "0",
|
| 303 |
+
"adults": "2",
|
| 304 |
+
"children": "0",
|
| 305 |
+
"babies": "0",
|
| 306 |
+
"meal": "BB",
|
| 307 |
+
"country": "PRT",
|
| 308 |
+
"market_segment": "Direct",
|
| 309 |
+
"distribution_channel": "Direct",
|
| 310 |
+
"is_repeated_guest": "0",
|
| 311 |
+
"previous_cancellations": "0",
|
| 312 |
+
"previous_bookings_not_canceled": "0",
|
| 313 |
+
"reserved_room_type": "C",
|
| 314 |
+
"assigned_room_type": "C",
|
| 315 |
+
"booking_changes": "4",
|
| 316 |
+
"deposit_type": "No Deposit",
|
| 317 |
+
"agent": "",
|
| 318 |
+
"company": "",
|
| 319 |
+
"days_in_waiting_list": "0",
|
| 320 |
+
"customer_type": "Transient",
|
| 321 |
+
"adr": "0",
|
| 322 |
+
"required_car_parking_spaces": "0",
|
| 323 |
+
"total_of_special_requests": "0",
|
| 324 |
+
"reservation_status": "Check-Out",
|
| 325 |
+
"reservation_status_date": "2015-07-01"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"hotel": "Resort Hotel",
|
| 329 |
+
"is_canceled": "0",
|
| 330 |
+
"lead_time": "7",
|
| 331 |
+
"arrival_date_year": "2015",
|
| 332 |
+
"arrival_date_month": "July",
|
| 333 |
+
"arrival_date_week_number": "27",
|
| 334 |
+
"arrival_date_day_of_month": "1",
|
| 335 |
+
"stays_in_weekend_nights": "0",
|
| 336 |
+
"stays_in_week_nights": "1",
|
| 337 |
+
"adults": "1",
|
| 338 |
+
"children": "0",
|
| 339 |
+
"babies": "0",
|
| 340 |
+
"meal": "BB",
|
| 341 |
+
"country": "GBR",
|
| 342 |
+
"market_segment": "Direct",
|
| 343 |
+
"distribution_channel": "Direct",
|
| 344 |
+
"is_repeated_guest": "0",
|
| 345 |
+
"previous_cancellations": "0",
|
| 346 |
+
"previous_bookings_not_canceled": "0",
|
| 347 |
+
"reserved_room_type": "A",
|
| 348 |
+
"assigned_room_type": "C",
|
| 349 |
+
"booking_changes": "0",
|
| 350 |
+
"deposit_type": "No Deposit",
|
| 351 |
+
"agent": "",
|
| 352 |
+
"company": "",
|
| 353 |
+
"days_in_waiting_list": "0",
|
| 354 |
+
"customer_type": "Transient",
|
| 355 |
+
"adr": "75",
|
| 356 |
+
"required_car_parking_spaces": "0",
|
| 357 |
+
"total_of_special_requests": "0",
|
| 358 |
+
"reservation_status": "Check-Out",
|
| 359 |
+
"reservation_status_date": "2015-07-02"
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"hotel": "Resort Hotel",
|
| 363 |
+
"is_canceled": "0",
|
| 364 |
+
"lead_time": "13",
|
| 365 |
+
"arrival_date_year": "2015",
|
| 366 |
+
"arrival_date_month": "July",
|
| 367 |
+
"arrival_date_week_number": "27",
|
| 368 |
+
"arrival_date_day_of_month": "1",
|
| 369 |
+
"stays_in_weekend_nights": "0",
|
| 370 |
+
"stays_in_week_nights": "1",
|
| 371 |
+
"adults": "1",
|
| 372 |
+
"children": "0",
|
| 373 |
+
"babies": "0",
|
| 374 |
+
"meal": "BB",
|
| 375 |
+
"country": "GBR",
|
| 376 |
+
"market_segment": "Corporate",
|
| 377 |
+
"distribution_channel": "Corporate",
|
| 378 |
+
"is_repeated_guest": "0",
|
| 379 |
+
"previous_cancellations": "0",
|
| 380 |
+
"previous_bookings_not_canceled": "0",
|
| 381 |
+
"reserved_room_type": "A",
|
| 382 |
+
"assigned_room_type": "A",
|
| 383 |
+
"booking_changes": "0",
|
| 384 |
+
"deposit_type": "No Deposit",
|
| 385 |
+
"agent": "304",
|
| 386 |
+
"company": "",
|
| 387 |
+
"days_in_waiting_list": "0",
|
| 388 |
+
"customer_type": "Transient",
|
| 389 |
+
"adr": "75",
|
| 390 |
+
"required_car_parking_spaces": "0",
|
| 391 |
+
"total_of_special_requests": "0",
|
| 392 |
+
"reservation_status": "Check-Out",
|
| 393 |
+
"reservation_status_date": "2015-07-02"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"hotel": "Resort Hotel",
|
| 397 |
+
"is_canceled": "0",
|
| 398 |
+
"lead_time": "14",
|
| 399 |
+
"arrival_date_year": "2015",
|
| 400 |
+
"arrival_date_month": "July",
|
| 401 |
+
"arrival_date_week_number": "27",
|
| 402 |
+
"arrival_date_day_of_month": "1",
|
| 403 |
+
"stays_in_weekend_nights": "0",
|
| 404 |
+
"stays_in_week_nights": "2",
|
| 405 |
+
"adults": "2",
|
| 406 |
+
"children": "0",
|
| 407 |
+
"babies": "0",
|
| 408 |
+
"meal": "BB",
|
| 409 |
+
"country": "GBR",
|
| 410 |
+
"market_segment": "Online TA",
|
| 411 |
+
"distribution_channel": "TA/TO",
|
| 412 |
+
"is_repeated_guest": "0",
|
| 413 |
+
"previous_cancellations": "0",
|
| 414 |
+
"previous_bookings_not_canceled": "0",
|
| 415 |
+
"reserved_room_type": "A",
|
| 416 |
+
"assigned_room_type": "A",
|
| 417 |
+
"booking_changes": "0",
|
| 418 |
+
"deposit_type": "No Deposit",
|
| 419 |
+
"agent": "240",
|
| 420 |
+
"company": "",
|
| 421 |
+
"days_in_waiting_list": "0",
|
| 422 |
+
"customer_type": "Transient",
|
| 423 |
+
"adr": "98",
|
| 424 |
+
"required_car_parking_spaces": "0",
|
| 425 |
+
"total_of_special_requests": "1",
|
| 426 |
+
"reservation_status": "Check-Out",
|
| 427 |
+
"reservation_status_date": "2015-07-03"
|
| 428 |
+
}
|
| 429 |
+
]
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
Shortlisted templates:
|
| 433 |
+
[
|
| 434 |
+
{
|
| 435 |
+
"template_id": "tpl_tpch_relative_total_threshold",
|
| 436 |
+
"template_name": "Relative-to-Total Extreme Threshold",
|
| 437 |
+
"primary_family": "tail_rarity_structure",
|
| 438 |
+
"portability": "partial",
|
| 439 |
+
"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;",
|
| 440 |
+
"required_roles": [
|
| 441 |
+
"group_col",
|
| 442 |
+
"measure_col"
|
| 443 |
+
]
|
| 444 |
+
}
|
| 445 |
+
]
|
| 446 |
+
|
| 447 |
+
Problem instance:
|
| 448 |
+
{
|
| 449 |
+
"dataset_id": "m12",
|
| 450 |
+
"question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=reservation_status, measure_col=company.",
|
| 451 |
+
"planned_template_id": "tpl_tpch_relative_total_threshold",
|
| 452 |
+
"bindings": {
|
| 453 |
+
"group_col": "reservation_status",
|
| 454 |
+
"measure_col": "company",
|
| 455 |
+
"top_k": 15,
|
| 456 |
+
"top_n": 4,
|
| 457 |
+
"num_tiles": 10,
|
| 458 |
+
"percentile_value": 0.9,
|
| 459 |
+
"z_threshold": 2.0,
|
| 460 |
+
"fraction_threshold": 0.05,
|
| 461 |
+
"baseline_multiplier": 1.75,
|
| 462 |
+
"baseline_fraction": 0.1,
|
| 463 |
+
"min_group_size": 5,
|
| 464 |
+
"min_support": 4,
|
| 465 |
+
"measure_threshold": 197.8,
|
| 466 |
+
"time_grain": "month",
|
| 467 |
+
"lookback_rows": 3,
|
| 468 |
+
"current_period_start": "'2024-01-01'",
|
| 469 |
+
"current_period_end": "'2024-04-01'",
|
| 470 |
+
"previous_period_start": "'2023-10-01'",
|
| 471 |
+
"previous_period_end": "'2024-01-01'",
|
| 472 |
+
"drift_ratio_threshold": 0.8
|
| 473 |
+
},
|
| 474 |
+
"can_vary": [],
|
| 475 |
+
"must_fix": [],
|
| 476 |
+
"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;"
|
| 477 |
+
}
|
| 478 |
+
|
| 479 |
+
Repair context:
|
| 480 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f0-1e64-7f02-a1a0-56e967b9f206"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f0-1e64-7f02-a1a0-56e967b9f206"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_2.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f0-2f46-75a3-8e9d-4a13ed075355"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_response_attempt_2.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f0-2f46-75a3-8e9d-4a13ed075355"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_054db4cfee2eed19/cli/sql_stderr_attempt_2.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/conversation.jsonl
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17083, "bytes_utf8": 17083, "lines": 478, "estimated_tokens": null}}
|
| 2 |
+
{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 721, "bytes_utf8": 721, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16714, "cached_input_tokens": 15744, "output_tokens": 717, "reasoning_output_tokens": 516}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/session_summary.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"engine": "v2-cli:codex",
|
| 3 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 4 |
+
"ai_cli_calls": 1,
|
| 5 |
+
"usage_summary": {
|
| 6 |
+
"dataset_id": "m12",
|
| 7 |
+
"model": "v2-cli:codex",
|
| 8 |
+
"run_id": "v2q_m12_05de8da3ad43140e",
|
| 9 |
+
"api_calls": 0,
|
| 10 |
+
"input_tokens": 16714,
|
| 11 |
+
"cached_input_tokens": 15744,
|
| 12 |
+
"output_tokens": 717,
|
| 13 |
+
"total_tokens": 17431,
|
| 14 |
+
"cost_usd": 0.0,
|
| 15 |
+
"ai_cli_calls": 1,
|
| 16 |
+
"estimated_input_tokens": 0,
|
| 17 |
+
"estimated_output_tokens": 0,
|
| 18 |
+
"estimated_total_tokens": 0,
|
| 19 |
+
"usage_source": "ai_cli_json_usage",
|
| 20 |
+
"cli_elapsed_ms_total": 16452.38,
|
| 21 |
+
"sql_execution_elapsed_ms_total": 178.29,
|
| 22 |
+
"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/conversation.jsonl",
|
| 23 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 24 |
+
}
|
| 25 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attempt": 1,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T15:47:10.778863+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T15:47:27.231287+00:00",
|
| 7 |
+
"elapsed_ms": 16452.38,
|
| 8 |
+
"prompt_metrics": {
|
| 9 |
+
"chars": 17083,
|
| 10 |
+
"bytes_utf8": 17083,
|
| 11 |
+
"lines": 478,
|
| 12 |
+
"estimated_tokens": null
|
| 13 |
+
},
|
| 14 |
+
"stdout_metrics": {
|
| 15 |
+
"chars": 1108,
|
| 16 |
+
"bytes_utf8": 1108,
|
| 17 |
+
"lines": 4,
|
| 18 |
+
"estimated_tokens": null
|
| 19 |
+
},
|
| 20 |
+
"stderr_metrics": {
|
| 21 |
+
"chars": 0,
|
| 22 |
+
"bytes_utf8": 0,
|
| 23 |
+
"lines": 0,
|
| 24 |
+
"estimated_tokens": null
|
| 25 |
+
},
|
| 26 |
+
"parsed_output": {
|
| 27 |
+
"format": "jsonl_events",
|
| 28 |
+
"text_metrics": {
|
| 29 |
+
"chars": 721,
|
| 30 |
+
"bytes_utf8": 721,
|
| 31 |
+
"lines": 1,
|
| 32 |
+
"estimated_tokens": null
|
| 33 |
+
},
|
| 34 |
+
"usage": {
|
| 35 |
+
"input_tokens": 16714,
|
| 36 |
+
"cached_input_tokens": 15744,
|
| 37 |
+
"output_tokens": 717,
|
| 38 |
+
"reasoning_output_tokens": 516
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"prompt_path": "cli/sql_prompt_attempt_1.txt",
|
| 42 |
+
"response_path": "cli/sql_response_attempt_1.txt",
|
| 43 |
+
"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
|
| 44 |
+
"stderr_path": "cli/sql_stderr_attempt_1.txt"
|
| 45 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_prompt_attempt_1.txt
ADDED
|
@@ -0,0 +1,478 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
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|
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|
|
|
|
|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m12
|
| 15 |
+
- dataset_name: Hotel Booking Demand
|
| 16 |
+
- table_name: m12
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: customer_type
|
| 21 |
+
- main_row_count: 119390
|
| 22 |
+
- important_fields:
|
| 23 |
+
- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel.
|
| 24 |
+
- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled.
|
| 25 |
+
- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time.
|
| 26 |
+
- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year.
|
| 27 |
+
- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month.
|
| 28 |
+
- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number.
|
| 29 |
+
- 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.
|
| 30 |
+
- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights.
|
| 31 |
+
- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights.
|
| 32 |
+
- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults.
|
| 33 |
+
- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children.
|
| 34 |
+
- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies.
|
| 35 |
+
- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal.
|
| 36 |
+
- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country.
|
| 37 |
+
- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment.
|
| 38 |
+
- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel.
|
| 39 |
+
- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest.
|
| 40 |
+
- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations.
|
| 41 |
+
- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled.
|
| 42 |
+
- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type.
|
| 43 |
+
- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type.
|
| 44 |
+
- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes.
|
| 45 |
+
- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type.
|
| 46 |
+
- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent.
|
| 47 |
+
- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company.
|
| 48 |
+
- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list.
|
| 49 |
+
- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type.
|
| 50 |
+
- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr.
|
| 51 |
+
- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces.
|
| 52 |
+
- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests.
|
| 53 |
+
- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status.
|
| 54 |
+
- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date.
|
| 55 |
+
- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']]
|
| 56 |
+
- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country']
|
| 57 |
+
- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
|
| 58 |
+
|
| 59 |
+
SQLite schema snapshot:
|
| 60 |
+
{
|
| 61 |
+
"table_name": "m12",
|
| 62 |
+
"quoted_table_name": "\"m12\"",
|
| 63 |
+
"row_count": 119390,
|
| 64 |
+
"columns": [
|
| 65 |
+
{
|
| 66 |
+
"name": "hotel",
|
| 67 |
+
"type": "TEXT",
|
| 68 |
+
"notnull": false,
|
| 69 |
+
"pk": false
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "is_canceled",
|
| 73 |
+
"type": "TEXT",
|
| 74 |
+
"notnull": false,
|
| 75 |
+
"pk": false
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "lead_time",
|
| 79 |
+
"type": "TEXT",
|
| 80 |
+
"notnull": false,
|
| 81 |
+
"pk": false
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "arrival_date_year",
|
| 85 |
+
"type": "TEXT",
|
| 86 |
+
"notnull": false,
|
| 87 |
+
"pk": false
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "arrival_date_month",
|
| 91 |
+
"type": "TEXT",
|
| 92 |
+
"notnull": false,
|
| 93 |
+
"pk": false
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "arrival_date_week_number",
|
| 97 |
+
"type": "TEXT",
|
| 98 |
+
"notnull": false,
|
| 99 |
+
"pk": false
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"name": "arrival_date_day_of_month",
|
| 103 |
+
"type": "TEXT",
|
| 104 |
+
"notnull": false,
|
| 105 |
+
"pk": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"name": "stays_in_weekend_nights",
|
| 109 |
+
"type": "TEXT",
|
| 110 |
+
"notnull": false,
|
| 111 |
+
"pk": false
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"name": "stays_in_week_nights",
|
| 115 |
+
"type": "TEXT",
|
| 116 |
+
"notnull": false,
|
| 117 |
+
"pk": false
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"name": "adults",
|
| 121 |
+
"type": "TEXT",
|
| 122 |
+
"notnull": false,
|
| 123 |
+
"pk": false
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"name": "children",
|
| 127 |
+
"type": "TEXT",
|
| 128 |
+
"notnull": false,
|
| 129 |
+
"pk": false
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "babies",
|
| 133 |
+
"type": "TEXT",
|
| 134 |
+
"notnull": false,
|
| 135 |
+
"pk": false
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"name": "meal",
|
| 139 |
+
"type": "TEXT",
|
| 140 |
+
"notnull": false,
|
| 141 |
+
"pk": false
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "country",
|
| 145 |
+
"type": "TEXT",
|
| 146 |
+
"notnull": false,
|
| 147 |
+
"pk": false
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"name": "market_segment",
|
| 151 |
+
"type": "TEXT",
|
| 152 |
+
"notnull": false,
|
| 153 |
+
"pk": false
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"name": "distribution_channel",
|
| 157 |
+
"type": "TEXT",
|
| 158 |
+
"notnull": false,
|
| 159 |
+
"pk": false
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"name": "is_repeated_guest",
|
| 163 |
+
"type": "TEXT",
|
| 164 |
+
"notnull": false,
|
| 165 |
+
"pk": false
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"name": "previous_cancellations",
|
| 169 |
+
"type": "TEXT",
|
| 170 |
+
"notnull": false,
|
| 171 |
+
"pk": false
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"name": "previous_bookings_not_canceled",
|
| 175 |
+
"type": "TEXT",
|
| 176 |
+
"notnull": false,
|
| 177 |
+
"pk": false
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"name": "reserved_room_type",
|
| 181 |
+
"type": "TEXT",
|
| 182 |
+
"notnull": false,
|
| 183 |
+
"pk": false
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"name": "assigned_room_type",
|
| 187 |
+
"type": "TEXT",
|
| 188 |
+
"notnull": false,
|
| 189 |
+
"pk": false
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"name": "booking_changes",
|
| 193 |
+
"type": "TEXT",
|
| 194 |
+
"notnull": false,
|
| 195 |
+
"pk": false
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"name": "deposit_type",
|
| 199 |
+
"type": "TEXT",
|
| 200 |
+
"notnull": false,
|
| 201 |
+
"pk": false
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"name": "agent",
|
| 205 |
+
"type": "TEXT",
|
| 206 |
+
"notnull": false,
|
| 207 |
+
"pk": false
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"name": "company",
|
| 211 |
+
"type": "TEXT",
|
| 212 |
+
"notnull": false,
|
| 213 |
+
"pk": false
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"name": "days_in_waiting_list",
|
| 217 |
+
"type": "TEXT",
|
| 218 |
+
"notnull": false,
|
| 219 |
+
"pk": false
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"name": "customer_type",
|
| 223 |
+
"type": "TEXT",
|
| 224 |
+
"notnull": false,
|
| 225 |
+
"pk": false
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"name": "adr",
|
| 229 |
+
"type": "TEXT",
|
| 230 |
+
"notnull": false,
|
| 231 |
+
"pk": false
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"name": "required_car_parking_spaces",
|
| 235 |
+
"type": "TEXT",
|
| 236 |
+
"notnull": false,
|
| 237 |
+
"pk": false
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"name": "total_of_special_requests",
|
| 241 |
+
"type": "TEXT",
|
| 242 |
+
"notnull": false,
|
| 243 |
+
"pk": false
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"name": "reservation_status",
|
| 247 |
+
"type": "TEXT",
|
| 248 |
+
"notnull": false,
|
| 249 |
+
"pk": false
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"name": "reservation_status_date",
|
| 253 |
+
"type": "TEXT",
|
| 254 |
+
"notnull": false,
|
| 255 |
+
"pk": false
|
| 256 |
+
}
|
| 257 |
+
],
|
| 258 |
+
"sample_rows": [
|
| 259 |
+
{
|
| 260 |
+
"hotel": "Resort Hotel",
|
| 261 |
+
"is_canceled": "0",
|
| 262 |
+
"lead_time": "342",
|
| 263 |
+
"arrival_date_year": "2015",
|
| 264 |
+
"arrival_date_month": "July",
|
| 265 |
+
"arrival_date_week_number": "27",
|
| 266 |
+
"arrival_date_day_of_month": "1",
|
| 267 |
+
"stays_in_weekend_nights": "0",
|
| 268 |
+
"stays_in_week_nights": "0",
|
| 269 |
+
"adults": "2",
|
| 270 |
+
"children": "0",
|
| 271 |
+
"babies": "0",
|
| 272 |
+
"meal": "BB",
|
| 273 |
+
"country": "PRT",
|
| 274 |
+
"market_segment": "Direct",
|
| 275 |
+
"distribution_channel": "Direct",
|
| 276 |
+
"is_repeated_guest": "0",
|
| 277 |
+
"previous_cancellations": "0",
|
| 278 |
+
"previous_bookings_not_canceled": "0",
|
| 279 |
+
"reserved_room_type": "C",
|
| 280 |
+
"assigned_room_type": "C",
|
| 281 |
+
"booking_changes": "3",
|
| 282 |
+
"deposit_type": "No Deposit",
|
| 283 |
+
"agent": "",
|
| 284 |
+
"company": "",
|
| 285 |
+
"days_in_waiting_list": "0",
|
| 286 |
+
"customer_type": "Transient",
|
| 287 |
+
"adr": "0",
|
| 288 |
+
"required_car_parking_spaces": "0",
|
| 289 |
+
"total_of_special_requests": "0",
|
| 290 |
+
"reservation_status": "Check-Out",
|
| 291 |
+
"reservation_status_date": "2015-07-01"
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"hotel": "Resort Hotel",
|
| 295 |
+
"is_canceled": "0",
|
| 296 |
+
"lead_time": "737",
|
| 297 |
+
"arrival_date_year": "2015",
|
| 298 |
+
"arrival_date_month": "July",
|
| 299 |
+
"arrival_date_week_number": "27",
|
| 300 |
+
"arrival_date_day_of_month": "1",
|
| 301 |
+
"stays_in_weekend_nights": "0",
|
| 302 |
+
"stays_in_week_nights": "0",
|
| 303 |
+
"adults": "2",
|
| 304 |
+
"children": "0",
|
| 305 |
+
"babies": "0",
|
| 306 |
+
"meal": "BB",
|
| 307 |
+
"country": "PRT",
|
| 308 |
+
"market_segment": "Direct",
|
| 309 |
+
"distribution_channel": "Direct",
|
| 310 |
+
"is_repeated_guest": "0",
|
| 311 |
+
"previous_cancellations": "0",
|
| 312 |
+
"previous_bookings_not_canceled": "0",
|
| 313 |
+
"reserved_room_type": "C",
|
| 314 |
+
"assigned_room_type": "C",
|
| 315 |
+
"booking_changes": "4",
|
| 316 |
+
"deposit_type": "No Deposit",
|
| 317 |
+
"agent": "",
|
| 318 |
+
"company": "",
|
| 319 |
+
"days_in_waiting_list": "0",
|
| 320 |
+
"customer_type": "Transient",
|
| 321 |
+
"adr": "0",
|
| 322 |
+
"required_car_parking_spaces": "0",
|
| 323 |
+
"total_of_special_requests": "0",
|
| 324 |
+
"reservation_status": "Check-Out",
|
| 325 |
+
"reservation_status_date": "2015-07-01"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"hotel": "Resort Hotel",
|
| 329 |
+
"is_canceled": "0",
|
| 330 |
+
"lead_time": "7",
|
| 331 |
+
"arrival_date_year": "2015",
|
| 332 |
+
"arrival_date_month": "July",
|
| 333 |
+
"arrival_date_week_number": "27",
|
| 334 |
+
"arrival_date_day_of_month": "1",
|
| 335 |
+
"stays_in_weekend_nights": "0",
|
| 336 |
+
"stays_in_week_nights": "1",
|
| 337 |
+
"adults": "1",
|
| 338 |
+
"children": "0",
|
| 339 |
+
"babies": "0",
|
| 340 |
+
"meal": "BB",
|
| 341 |
+
"country": "GBR",
|
| 342 |
+
"market_segment": "Direct",
|
| 343 |
+
"distribution_channel": "Direct",
|
| 344 |
+
"is_repeated_guest": "0",
|
| 345 |
+
"previous_cancellations": "0",
|
| 346 |
+
"previous_bookings_not_canceled": "0",
|
| 347 |
+
"reserved_room_type": "A",
|
| 348 |
+
"assigned_room_type": "C",
|
| 349 |
+
"booking_changes": "0",
|
| 350 |
+
"deposit_type": "No Deposit",
|
| 351 |
+
"agent": "",
|
| 352 |
+
"company": "",
|
| 353 |
+
"days_in_waiting_list": "0",
|
| 354 |
+
"customer_type": "Transient",
|
| 355 |
+
"adr": "75",
|
| 356 |
+
"required_car_parking_spaces": "0",
|
| 357 |
+
"total_of_special_requests": "0",
|
| 358 |
+
"reservation_status": "Check-Out",
|
| 359 |
+
"reservation_status_date": "2015-07-02"
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"hotel": "Resort Hotel",
|
| 363 |
+
"is_canceled": "0",
|
| 364 |
+
"lead_time": "13",
|
| 365 |
+
"arrival_date_year": "2015",
|
| 366 |
+
"arrival_date_month": "July",
|
| 367 |
+
"arrival_date_week_number": "27",
|
| 368 |
+
"arrival_date_day_of_month": "1",
|
| 369 |
+
"stays_in_weekend_nights": "0",
|
| 370 |
+
"stays_in_week_nights": "1",
|
| 371 |
+
"adults": "1",
|
| 372 |
+
"children": "0",
|
| 373 |
+
"babies": "0",
|
| 374 |
+
"meal": "BB",
|
| 375 |
+
"country": "GBR",
|
| 376 |
+
"market_segment": "Corporate",
|
| 377 |
+
"distribution_channel": "Corporate",
|
| 378 |
+
"is_repeated_guest": "0",
|
| 379 |
+
"previous_cancellations": "0",
|
| 380 |
+
"previous_bookings_not_canceled": "0",
|
| 381 |
+
"reserved_room_type": "A",
|
| 382 |
+
"assigned_room_type": "A",
|
| 383 |
+
"booking_changes": "0",
|
| 384 |
+
"deposit_type": "No Deposit",
|
| 385 |
+
"agent": "304",
|
| 386 |
+
"company": "",
|
| 387 |
+
"days_in_waiting_list": "0",
|
| 388 |
+
"customer_type": "Transient",
|
| 389 |
+
"adr": "75",
|
| 390 |
+
"required_car_parking_spaces": "0",
|
| 391 |
+
"total_of_special_requests": "0",
|
| 392 |
+
"reservation_status": "Check-Out",
|
| 393 |
+
"reservation_status_date": "2015-07-02"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"hotel": "Resort Hotel",
|
| 397 |
+
"is_canceled": "0",
|
| 398 |
+
"lead_time": "14",
|
| 399 |
+
"arrival_date_year": "2015",
|
| 400 |
+
"arrival_date_month": "July",
|
| 401 |
+
"arrival_date_week_number": "27",
|
| 402 |
+
"arrival_date_day_of_month": "1",
|
| 403 |
+
"stays_in_weekend_nights": "0",
|
| 404 |
+
"stays_in_week_nights": "2",
|
| 405 |
+
"adults": "2",
|
| 406 |
+
"children": "0",
|
| 407 |
+
"babies": "0",
|
| 408 |
+
"meal": "BB",
|
| 409 |
+
"country": "GBR",
|
| 410 |
+
"market_segment": "Online TA",
|
| 411 |
+
"distribution_channel": "TA/TO",
|
| 412 |
+
"is_repeated_guest": "0",
|
| 413 |
+
"previous_cancellations": "0",
|
| 414 |
+
"previous_bookings_not_canceled": "0",
|
| 415 |
+
"reserved_room_type": "A",
|
| 416 |
+
"assigned_room_type": "A",
|
| 417 |
+
"booking_changes": "0",
|
| 418 |
+
"deposit_type": "No Deposit",
|
| 419 |
+
"agent": "240",
|
| 420 |
+
"company": "",
|
| 421 |
+
"days_in_waiting_list": "0",
|
| 422 |
+
"customer_type": "Transient",
|
| 423 |
+
"adr": "98",
|
| 424 |
+
"required_car_parking_spaces": "0",
|
| 425 |
+
"total_of_special_requests": "1",
|
| 426 |
+
"reservation_status": "Check-Out",
|
| 427 |
+
"reservation_status_date": "2015-07-03"
|
| 428 |
+
}
|
| 429 |
+
]
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
Shortlisted templates:
|
| 433 |
+
[
|
| 434 |
+
{
|
| 435 |
+
"template_id": "tpl_m4_quantile_tail_slice",
|
| 436 |
+
"template_name": "Quantile Tail Slice",
|
| 437 |
+
"primary_family": "tail_rarity_structure",
|
| 438 |
+
"portability": "partial",
|
| 439 |
+
"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;",
|
| 440 |
+
"required_roles": [
|
| 441 |
+
"measure_col"
|
| 442 |
+
]
|
| 443 |
+
}
|
| 444 |
+
]
|
| 445 |
+
|
| 446 |
+
Problem instance:
|
| 447 |
+
{
|
| 448 |
+
"dataset_id": "m12",
|
| 449 |
+
"question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=days_in_waiting_list.",
|
| 450 |
+
"planned_template_id": "tpl_m4_quantile_tail_slice",
|
| 451 |
+
"bindings": {
|
| 452 |
+
"measure_col": "days_in_waiting_list",
|
| 453 |
+
"top_k": 12,
|
| 454 |
+
"top_n": 6,
|
| 455 |
+
"num_tiles": 10,
|
| 456 |
+
"percentile_value": 0.9,
|
| 457 |
+
"z_threshold": 2.0,
|
| 458 |
+
"fraction_threshold": 0.1,
|
| 459 |
+
"baseline_multiplier": 1.5,
|
| 460 |
+
"baseline_fraction": 0.1,
|
| 461 |
+
"min_group_size": 5,
|
| 462 |
+
"min_support": 5,
|
| 463 |
+
"measure_threshold": 101.0,
|
| 464 |
+
"time_grain": "month",
|
| 465 |
+
"lookback_rows": 3,
|
| 466 |
+
"current_period_start": "'2024-01-01'",
|
| 467 |
+
"current_period_end": "'2024-04-01'",
|
| 468 |
+
"previous_period_start": "'2023-10-01'",
|
| 469 |
+
"previous_period_end": "'2024-01-01'",
|
| 470 |
+
"drift_ratio_threshold": 0.8
|
| 471 |
+
},
|
| 472 |
+
"can_vary": [],
|
| 473 |
+
"must_fix": [],
|
| 474 |
+
"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;"
|
| 475 |
+
}
|
| 476 |
+
|
| 477 |
+
Repair context:
|
| 478 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40eb-6cad-72a3-81e8-95280c23801c"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER) AS \\\"days_in_waiting_list\\\",\\n NTILE(10) OVER (\\n ORDER BY CAST(NULLIF(\\\"days_in_waiting_list\\\", '') AS INTEGER) DESC\\n ) AS \\\"tail_bucket\\\"\\n FROM \\\"m12\\\"\\n WHERE NULLIF(\\\"days_in_waiting_list\\\", '') IS NOT NULL\\n)\\nSELECT \\\"days_in_waiting_list\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"days_in_waiting_list\\\" DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"days_in_waiting_list\\\" and num_tiles=10. Casted the TEXT field to INTEGER for numeric ordering and filtered blank values before assigning NTILE buckets.\"}"}}
|
| 4 |
+
{"type":"turn.completed","usage":{"input_tokens":16714,"cached_input_tokens":15744,"output_tokens":717,"reasoning_output_tokens":516}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(NULLIF(\"days_in_waiting_list\", '') AS INTEGER) AS \"days_in_waiting_list\",\n NTILE(10) OVER (\n ORDER BY CAST(NULLIF(\"days_in_waiting_list\", '') AS INTEGER) DESC\n ) AS \"tail_bucket\"\n FROM \"m12\"\n WHERE NULLIF(\"days_in_waiting_list\", '') IS NOT NULL\n)\nSELECT \"days_in_waiting_list\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"days_in_waiting_list\" DESC;","notes":"Used the Quantile Tail Slice template with measure_col bound to \"days_in_waiting_list\" and num_tiles=10. Casted the TEXT field to INTEGER for numeric ordering and filtered blank values before assigning NTILE buckets."}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05de8da3ad43140e/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/conversation.jsonl
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17735, "bytes_utf8": 17735, "lines": 483, "estimated_tokens": null}}
|
| 2 |
+
{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 664, "bytes_utf8": 664, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16869, "cached_input_tokens": 12032, "output_tokens": 486, "reasoning_output_tokens": 307}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/session_summary.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"engine": "v2-cli:codex",
|
| 3 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 4 |
+
"ai_cli_calls": 1,
|
| 5 |
+
"usage_summary": {
|
| 6 |
+
"dataset_id": "m12",
|
| 7 |
+
"model": "v2-cli:codex",
|
| 8 |
+
"run_id": "v2q_m12_0abdd7583ba915ec",
|
| 9 |
+
"api_calls": 0,
|
| 10 |
+
"input_tokens": 16869,
|
| 11 |
+
"cached_input_tokens": 12032,
|
| 12 |
+
"output_tokens": 486,
|
| 13 |
+
"total_tokens": 17355,
|
| 14 |
+
"cost_usd": 0.0,
|
| 15 |
+
"ai_cli_calls": 1,
|
| 16 |
+
"estimated_input_tokens": 0,
|
| 17 |
+
"estimated_output_tokens": 0,
|
| 18 |
+
"estimated_total_tokens": 0,
|
| 19 |
+
"usage_source": "ai_cli_json_usage",
|
| 20 |
+
"cli_elapsed_ms_total": 9902.22,
|
| 21 |
+
"sql_execution_elapsed_ms_total": 74.12,
|
| 22 |
+
"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",
|
| 23 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 24 |
+
}
|
| 25 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attempt": 1,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T15:41:55.008282+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T15:42:04.910536+00:00",
|
| 7 |
+
"elapsed_ms": 9902.22,
|
| 8 |
+
"prompt_metrics": {
|
| 9 |
+
"chars": 17735,
|
| 10 |
+
"bytes_utf8": 17735,
|
| 11 |
+
"lines": 483,
|
| 12 |
+
"estimated_tokens": null
|
| 13 |
+
},
|
| 14 |
+
"stdout_metrics": {
|
| 15 |
+
"chars": 1029,
|
| 16 |
+
"bytes_utf8": 1029,
|
| 17 |
+
"lines": 4,
|
| 18 |
+
"estimated_tokens": null
|
| 19 |
+
},
|
| 20 |
+
"stderr_metrics": {
|
| 21 |
+
"chars": 0,
|
| 22 |
+
"bytes_utf8": 0,
|
| 23 |
+
"lines": 0,
|
| 24 |
+
"estimated_tokens": null
|
| 25 |
+
},
|
| 26 |
+
"parsed_output": {
|
| 27 |
+
"format": "jsonl_events",
|
| 28 |
+
"text_metrics": {
|
| 29 |
+
"chars": 664,
|
| 30 |
+
"bytes_utf8": 664,
|
| 31 |
+
"lines": 1,
|
| 32 |
+
"estimated_tokens": null
|
| 33 |
+
},
|
| 34 |
+
"usage": {
|
| 35 |
+
"input_tokens": 16869,
|
| 36 |
+
"cached_input_tokens": 12032,
|
| 37 |
+
"output_tokens": 486,
|
| 38 |
+
"reasoning_output_tokens": 307
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"prompt_path": "cli/sql_prompt_attempt_1.txt",
|
| 42 |
+
"response_path": "cli/sql_response_attempt_1.txt",
|
| 43 |
+
"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
|
| 44 |
+
"stderr_path": "cli/sql_stderr_attempt_1.txt"
|
| 45 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_prompt_attempt_1.txt
ADDED
|
@@ -0,0 +1,483 @@
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|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m12
|
| 15 |
+
- dataset_name: Hotel Booking Demand
|
| 16 |
+
- table_name: m12
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: customer_type
|
| 21 |
+
- main_row_count: 119390
|
| 22 |
+
- important_fields:
|
| 23 |
+
- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel.
|
| 24 |
+
- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled.
|
| 25 |
+
- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time.
|
| 26 |
+
- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year.
|
| 27 |
+
- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month.
|
| 28 |
+
- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number.
|
| 29 |
+
- 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.
|
| 30 |
+
- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights.
|
| 31 |
+
- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights.
|
| 32 |
+
- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults.
|
| 33 |
+
- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children.
|
| 34 |
+
- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies.
|
| 35 |
+
- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal.
|
| 36 |
+
- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country.
|
| 37 |
+
- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment.
|
| 38 |
+
- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel.
|
| 39 |
+
- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest.
|
| 40 |
+
- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations.
|
| 41 |
+
- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled.
|
| 42 |
+
- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type.
|
| 43 |
+
- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type.
|
| 44 |
+
- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes.
|
| 45 |
+
- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type.
|
| 46 |
+
- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent.
|
| 47 |
+
- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company.
|
| 48 |
+
- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list.
|
| 49 |
+
- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type.
|
| 50 |
+
- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr.
|
| 51 |
+
- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces.
|
| 52 |
+
- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests.
|
| 53 |
+
- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status.
|
| 54 |
+
- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date.
|
| 55 |
+
- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']]
|
| 56 |
+
- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country']
|
| 57 |
+
- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
|
| 58 |
+
|
| 59 |
+
SQLite schema snapshot:
|
| 60 |
+
{
|
| 61 |
+
"table_name": "m12",
|
| 62 |
+
"quoted_table_name": "\"m12\"",
|
| 63 |
+
"row_count": 119390,
|
| 64 |
+
"columns": [
|
| 65 |
+
{
|
| 66 |
+
"name": "hotel",
|
| 67 |
+
"type": "TEXT",
|
| 68 |
+
"notnull": false,
|
| 69 |
+
"pk": false
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "is_canceled",
|
| 73 |
+
"type": "TEXT",
|
| 74 |
+
"notnull": false,
|
| 75 |
+
"pk": false
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "lead_time",
|
| 79 |
+
"type": "TEXT",
|
| 80 |
+
"notnull": false,
|
| 81 |
+
"pk": false
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "arrival_date_year",
|
| 85 |
+
"type": "TEXT",
|
| 86 |
+
"notnull": false,
|
| 87 |
+
"pk": false
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "arrival_date_month",
|
| 91 |
+
"type": "TEXT",
|
| 92 |
+
"notnull": false,
|
| 93 |
+
"pk": false
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "arrival_date_week_number",
|
| 97 |
+
"type": "TEXT",
|
| 98 |
+
"notnull": false,
|
| 99 |
+
"pk": false
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"name": "arrival_date_day_of_month",
|
| 103 |
+
"type": "TEXT",
|
| 104 |
+
"notnull": false,
|
| 105 |
+
"pk": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"name": "stays_in_weekend_nights",
|
| 109 |
+
"type": "TEXT",
|
| 110 |
+
"notnull": false,
|
| 111 |
+
"pk": false
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"name": "stays_in_week_nights",
|
| 115 |
+
"type": "TEXT",
|
| 116 |
+
"notnull": false,
|
| 117 |
+
"pk": false
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"name": "adults",
|
| 121 |
+
"type": "TEXT",
|
| 122 |
+
"notnull": false,
|
| 123 |
+
"pk": false
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"name": "children",
|
| 127 |
+
"type": "TEXT",
|
| 128 |
+
"notnull": false,
|
| 129 |
+
"pk": false
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "babies",
|
| 133 |
+
"type": "TEXT",
|
| 134 |
+
"notnull": false,
|
| 135 |
+
"pk": false
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"name": "meal",
|
| 139 |
+
"type": "TEXT",
|
| 140 |
+
"notnull": false,
|
| 141 |
+
"pk": false
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "country",
|
| 145 |
+
"type": "TEXT",
|
| 146 |
+
"notnull": false,
|
| 147 |
+
"pk": false
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"name": "market_segment",
|
| 151 |
+
"type": "TEXT",
|
| 152 |
+
"notnull": false,
|
| 153 |
+
"pk": false
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"name": "distribution_channel",
|
| 157 |
+
"type": "TEXT",
|
| 158 |
+
"notnull": false,
|
| 159 |
+
"pk": false
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"name": "is_repeated_guest",
|
| 163 |
+
"type": "TEXT",
|
| 164 |
+
"notnull": false,
|
| 165 |
+
"pk": false
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"name": "previous_cancellations",
|
| 169 |
+
"type": "TEXT",
|
| 170 |
+
"notnull": false,
|
| 171 |
+
"pk": false
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"name": "previous_bookings_not_canceled",
|
| 175 |
+
"type": "TEXT",
|
| 176 |
+
"notnull": false,
|
| 177 |
+
"pk": false
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"name": "reserved_room_type",
|
| 181 |
+
"type": "TEXT",
|
| 182 |
+
"notnull": false,
|
| 183 |
+
"pk": false
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"name": "assigned_room_type",
|
| 187 |
+
"type": "TEXT",
|
| 188 |
+
"notnull": false,
|
| 189 |
+
"pk": false
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"name": "booking_changes",
|
| 193 |
+
"type": "TEXT",
|
| 194 |
+
"notnull": false,
|
| 195 |
+
"pk": false
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"name": "deposit_type",
|
| 199 |
+
"type": "TEXT",
|
| 200 |
+
"notnull": false,
|
| 201 |
+
"pk": false
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"name": "agent",
|
| 205 |
+
"type": "TEXT",
|
| 206 |
+
"notnull": false,
|
| 207 |
+
"pk": false
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"name": "company",
|
| 211 |
+
"type": "TEXT",
|
| 212 |
+
"notnull": false,
|
| 213 |
+
"pk": false
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"name": "days_in_waiting_list",
|
| 217 |
+
"type": "TEXT",
|
| 218 |
+
"notnull": false,
|
| 219 |
+
"pk": false
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"name": "customer_type",
|
| 223 |
+
"type": "TEXT",
|
| 224 |
+
"notnull": false,
|
| 225 |
+
"pk": false
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"name": "adr",
|
| 229 |
+
"type": "TEXT",
|
| 230 |
+
"notnull": false,
|
| 231 |
+
"pk": false
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"name": "required_car_parking_spaces",
|
| 235 |
+
"type": "TEXT",
|
| 236 |
+
"notnull": false,
|
| 237 |
+
"pk": false
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"name": "total_of_special_requests",
|
| 241 |
+
"type": "TEXT",
|
| 242 |
+
"notnull": false,
|
| 243 |
+
"pk": false
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"name": "reservation_status",
|
| 247 |
+
"type": "TEXT",
|
| 248 |
+
"notnull": false,
|
| 249 |
+
"pk": false
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"name": "reservation_status_date",
|
| 253 |
+
"type": "TEXT",
|
| 254 |
+
"notnull": false,
|
| 255 |
+
"pk": false
|
| 256 |
+
}
|
| 257 |
+
],
|
| 258 |
+
"sample_rows": [
|
| 259 |
+
{
|
| 260 |
+
"hotel": "Resort Hotel",
|
| 261 |
+
"is_canceled": "0",
|
| 262 |
+
"lead_time": "342",
|
| 263 |
+
"arrival_date_year": "2015",
|
| 264 |
+
"arrival_date_month": "July",
|
| 265 |
+
"arrival_date_week_number": "27",
|
| 266 |
+
"arrival_date_day_of_month": "1",
|
| 267 |
+
"stays_in_weekend_nights": "0",
|
| 268 |
+
"stays_in_week_nights": "0",
|
| 269 |
+
"adults": "2",
|
| 270 |
+
"children": "0",
|
| 271 |
+
"babies": "0",
|
| 272 |
+
"meal": "BB",
|
| 273 |
+
"country": "PRT",
|
| 274 |
+
"market_segment": "Direct",
|
| 275 |
+
"distribution_channel": "Direct",
|
| 276 |
+
"is_repeated_guest": "0",
|
| 277 |
+
"previous_cancellations": "0",
|
| 278 |
+
"previous_bookings_not_canceled": "0",
|
| 279 |
+
"reserved_room_type": "C",
|
| 280 |
+
"assigned_room_type": "C",
|
| 281 |
+
"booking_changes": "3",
|
| 282 |
+
"deposit_type": "No Deposit",
|
| 283 |
+
"agent": "",
|
| 284 |
+
"company": "",
|
| 285 |
+
"days_in_waiting_list": "0",
|
| 286 |
+
"customer_type": "Transient",
|
| 287 |
+
"adr": "0",
|
| 288 |
+
"required_car_parking_spaces": "0",
|
| 289 |
+
"total_of_special_requests": "0",
|
| 290 |
+
"reservation_status": "Check-Out",
|
| 291 |
+
"reservation_status_date": "2015-07-01"
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"hotel": "Resort Hotel",
|
| 295 |
+
"is_canceled": "0",
|
| 296 |
+
"lead_time": "737",
|
| 297 |
+
"arrival_date_year": "2015",
|
| 298 |
+
"arrival_date_month": "July",
|
| 299 |
+
"arrival_date_week_number": "27",
|
| 300 |
+
"arrival_date_day_of_month": "1",
|
| 301 |
+
"stays_in_weekend_nights": "0",
|
| 302 |
+
"stays_in_week_nights": "0",
|
| 303 |
+
"adults": "2",
|
| 304 |
+
"children": "0",
|
| 305 |
+
"babies": "0",
|
| 306 |
+
"meal": "BB",
|
| 307 |
+
"country": "PRT",
|
| 308 |
+
"market_segment": "Direct",
|
| 309 |
+
"distribution_channel": "Direct",
|
| 310 |
+
"is_repeated_guest": "0",
|
| 311 |
+
"previous_cancellations": "0",
|
| 312 |
+
"previous_bookings_not_canceled": "0",
|
| 313 |
+
"reserved_room_type": "C",
|
| 314 |
+
"assigned_room_type": "C",
|
| 315 |
+
"booking_changes": "4",
|
| 316 |
+
"deposit_type": "No Deposit",
|
| 317 |
+
"agent": "",
|
| 318 |
+
"company": "",
|
| 319 |
+
"days_in_waiting_list": "0",
|
| 320 |
+
"customer_type": "Transient",
|
| 321 |
+
"adr": "0",
|
| 322 |
+
"required_car_parking_spaces": "0",
|
| 323 |
+
"total_of_special_requests": "0",
|
| 324 |
+
"reservation_status": "Check-Out",
|
| 325 |
+
"reservation_status_date": "2015-07-01"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"hotel": "Resort Hotel",
|
| 329 |
+
"is_canceled": "0",
|
| 330 |
+
"lead_time": "7",
|
| 331 |
+
"arrival_date_year": "2015",
|
| 332 |
+
"arrival_date_month": "July",
|
| 333 |
+
"arrival_date_week_number": "27",
|
| 334 |
+
"arrival_date_day_of_month": "1",
|
| 335 |
+
"stays_in_weekend_nights": "0",
|
| 336 |
+
"stays_in_week_nights": "1",
|
| 337 |
+
"adults": "1",
|
| 338 |
+
"children": "0",
|
| 339 |
+
"babies": "0",
|
| 340 |
+
"meal": "BB",
|
| 341 |
+
"country": "GBR",
|
| 342 |
+
"market_segment": "Direct",
|
| 343 |
+
"distribution_channel": "Direct",
|
| 344 |
+
"is_repeated_guest": "0",
|
| 345 |
+
"previous_cancellations": "0",
|
| 346 |
+
"previous_bookings_not_canceled": "0",
|
| 347 |
+
"reserved_room_type": "A",
|
| 348 |
+
"assigned_room_type": "C",
|
| 349 |
+
"booking_changes": "0",
|
| 350 |
+
"deposit_type": "No Deposit",
|
| 351 |
+
"agent": "",
|
| 352 |
+
"company": "",
|
| 353 |
+
"days_in_waiting_list": "0",
|
| 354 |
+
"customer_type": "Transient",
|
| 355 |
+
"adr": "75",
|
| 356 |
+
"required_car_parking_spaces": "0",
|
| 357 |
+
"total_of_special_requests": "0",
|
| 358 |
+
"reservation_status": "Check-Out",
|
| 359 |
+
"reservation_status_date": "2015-07-02"
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"hotel": "Resort Hotel",
|
| 363 |
+
"is_canceled": "0",
|
| 364 |
+
"lead_time": "13",
|
| 365 |
+
"arrival_date_year": "2015",
|
| 366 |
+
"arrival_date_month": "July",
|
| 367 |
+
"arrival_date_week_number": "27",
|
| 368 |
+
"arrival_date_day_of_month": "1",
|
| 369 |
+
"stays_in_weekend_nights": "0",
|
| 370 |
+
"stays_in_week_nights": "1",
|
| 371 |
+
"adults": "1",
|
| 372 |
+
"children": "0",
|
| 373 |
+
"babies": "0",
|
| 374 |
+
"meal": "BB",
|
| 375 |
+
"country": "GBR",
|
| 376 |
+
"market_segment": "Corporate",
|
| 377 |
+
"distribution_channel": "Corporate",
|
| 378 |
+
"is_repeated_guest": "0",
|
| 379 |
+
"previous_cancellations": "0",
|
| 380 |
+
"previous_bookings_not_canceled": "0",
|
| 381 |
+
"reserved_room_type": "A",
|
| 382 |
+
"assigned_room_type": "A",
|
| 383 |
+
"booking_changes": "0",
|
| 384 |
+
"deposit_type": "No Deposit",
|
| 385 |
+
"agent": "304",
|
| 386 |
+
"company": "",
|
| 387 |
+
"days_in_waiting_list": "0",
|
| 388 |
+
"customer_type": "Transient",
|
| 389 |
+
"adr": "75",
|
| 390 |
+
"required_car_parking_spaces": "0",
|
| 391 |
+
"total_of_special_requests": "0",
|
| 392 |
+
"reservation_status": "Check-Out",
|
| 393 |
+
"reservation_status_date": "2015-07-02"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"hotel": "Resort Hotel",
|
| 397 |
+
"is_canceled": "0",
|
| 398 |
+
"lead_time": "14",
|
| 399 |
+
"arrival_date_year": "2015",
|
| 400 |
+
"arrival_date_month": "July",
|
| 401 |
+
"arrival_date_week_number": "27",
|
| 402 |
+
"arrival_date_day_of_month": "1",
|
| 403 |
+
"stays_in_weekend_nights": "0",
|
| 404 |
+
"stays_in_week_nights": "2",
|
| 405 |
+
"adults": "2",
|
| 406 |
+
"children": "0",
|
| 407 |
+
"babies": "0",
|
| 408 |
+
"meal": "BB",
|
| 409 |
+
"country": "GBR",
|
| 410 |
+
"market_segment": "Online TA",
|
| 411 |
+
"distribution_channel": "TA/TO",
|
| 412 |
+
"is_repeated_guest": "0",
|
| 413 |
+
"previous_cancellations": "0",
|
| 414 |
+
"previous_bookings_not_canceled": "0",
|
| 415 |
+
"reserved_room_type": "A",
|
| 416 |
+
"assigned_room_type": "A",
|
| 417 |
+
"booking_changes": "0",
|
| 418 |
+
"deposit_type": "No Deposit",
|
| 419 |
+
"agent": "240",
|
| 420 |
+
"company": "",
|
| 421 |
+
"days_in_waiting_list": "0",
|
| 422 |
+
"customer_type": "Transient",
|
| 423 |
+
"adr": "98",
|
| 424 |
+
"required_car_parking_spaces": "0",
|
| 425 |
+
"total_of_special_requests": "1",
|
| 426 |
+
"reservation_status": "Check-Out",
|
| 427 |
+
"reservation_status_date": "2015-07-03"
|
| 428 |
+
}
|
| 429 |
+
]
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
Shortlisted templates:
|
| 433 |
+
[
|
| 434 |
+
{
|
| 435 |
+
"template_id": "tpl_m4_group_ratio_two_conditions",
|
| 436 |
+
"template_name": "Grouped Ratio of Two Conditions",
|
| 437 |
+
"primary_family": "conditional_dependency_structure",
|
| 438 |
+
"portability": "yes",
|
| 439 |
+
"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;",
|
| 440 |
+
"required_roles": [
|
| 441 |
+
"group_col",
|
| 442 |
+
"condition_col"
|
| 443 |
+
]
|
| 444 |
+
}
|
| 445 |
+
]
|
| 446 |
+
|
| 447 |
+
Problem instance:
|
| 448 |
+
{
|
| 449 |
+
"dataset_id": "m12",
|
| 450 |
+
"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.",
|
| 451 |
+
"planned_template_id": "tpl_m4_group_ratio_two_conditions",
|
| 452 |
+
"bindings": {
|
| 453 |
+
"group_col": "is_repeated_guest",
|
| 454 |
+
"condition_col": "hotel",
|
| 455 |
+
"condition_value": "City Hotel",
|
| 456 |
+
"positive_value": "City Hotel",
|
| 457 |
+
"negative_value": "Resort Hotel",
|
| 458 |
+
"top_k": 12,
|
| 459 |
+
"top_n": 5,
|
| 460 |
+
"num_tiles": 10,
|
| 461 |
+
"percentile_value": 0.95,
|
| 462 |
+
"z_threshold": 2.0,
|
| 463 |
+
"fraction_threshold": 0.1,
|
| 464 |
+
"baseline_multiplier": 1.5,
|
| 465 |
+
"baseline_fraction": 0.1,
|
| 466 |
+
"min_group_size": 5,
|
| 467 |
+
"min_support": 5,
|
| 468 |
+
"measure_threshold": 53.0,
|
| 469 |
+
"time_grain": "month",
|
| 470 |
+
"lookback_rows": 3,
|
| 471 |
+
"current_period_start": "'2024-01-01'",
|
| 472 |
+
"current_period_end": "'2024-04-01'",
|
| 473 |
+
"previous_period_start": "'2023-10-01'",
|
| 474 |
+
"previous_period_end": "'2024-01-01'",
|
| 475 |
+
"drift_ratio_threshold": 0.8
|
| 476 |
+
},
|
| 477 |
+
"can_vary": [],
|
| 478 |
+
"must_fix": [],
|
| 479 |
+
"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;"
|
| 480 |
+
}
|
| 481 |
+
|
| 482 |
+
Repair context:
|
| 483 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
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|
|
|
|
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| 1 |
+
{"type":"thread.started","thread_id":"019e40e6-9ab4-77d2-9cdf-67c9834226a5"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"is_repeated_guest\\\",\\n SUM(CASE WHEN \\\"hotel\\\" = 'City Hotel' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"hotel\\\" = 'Resort Hotel' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m12\\\"\\n GROUP BY \\\"is_repeated_guest\\\"\\n)\\nSELECT \\\"is_repeated_guest\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Groups by \\\"is_repeated_guest\\\" and computes the City Hotel to Resort Hotel ratio; returns NULL when a group has no Resort Hotel rows.\"}"}}
|
| 4 |
+
{"type":"turn.completed","usage":{"input_tokens":16869,"cached_input_tokens":12032,"output_tokens":486,"reasoning_output_tokens":307}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"is_repeated_guest\",\n SUM(CASE WHEN \"hotel\" = 'City Hotel' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"hotel\" = 'Resort Hotel' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m12\"\n GROUP BY \"is_repeated_guest\"\n)\nSELECT \"is_repeated_guest\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Groups by \"is_repeated_guest\" and computes the City Hotel to Resort Hotel ratio; returns NULL when a group has no Resort Hotel rows."}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/conversation.jsonl
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 16902, "bytes_utf8": 16902, "lines": 478, "estimated_tokens": null}}
|
| 2 |
+
{"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: "}
|
| 3 |
+
{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 16902, "bytes_utf8": 16902, "lines": 478, "estimated_tokens": null}}
|
| 4 |
+
{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 359, "bytes_utf8": 359, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16666, "cached_input_tokens": 12032, "output_tokens": 194, "reasoning_output_tokens": 100}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/session_summary.json
ADDED
|
@@ -0,0 +1,25 @@
|
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|
|
| 1 |
+
{
|
| 2 |
+
"engine": "v2-cli:codex",
|
| 3 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 4 |
+
"ai_cli_calls": 2,
|
| 5 |
+
"usage_summary": {
|
| 6 |
+
"dataset_id": "m12",
|
| 7 |
+
"model": "v2-cli:codex",
|
| 8 |
+
"run_id": "v2q_m12_0e4b12ac713d4a5f",
|
| 9 |
+
"api_calls": 0,
|
| 10 |
+
"input_tokens": 16666,
|
| 11 |
+
"cached_input_tokens": 12032,
|
| 12 |
+
"output_tokens": 194,
|
| 13 |
+
"total_tokens": 16860,
|
| 14 |
+
"cost_usd": 0.0,
|
| 15 |
+
"ai_cli_calls": 2,
|
| 16 |
+
"estimated_input_tokens": 0,
|
| 17 |
+
"estimated_output_tokens": 0,
|
| 18 |
+
"estimated_total_tokens": 0,
|
| 19 |
+
"usage_source": "ai_cli_json_usage",
|
| 20 |
+
"cli_elapsed_ms_total": 10470.11,
|
| 21 |
+
"sql_execution_elapsed_ms_total": 58.13,
|
| 22 |
+
"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/conversation.jsonl",
|
| 23 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 24 |
+
}
|
| 25 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"attempt": 1,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T16:06:09.236464+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:06:12.606837+00:00",
|
| 7 |
+
"elapsed_ms": 3370.35,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 16902,
|
| 11 |
+
"bytes_utf8": 16902,
|
| 12 |
+
"lines": 478,
|
| 13 |
+
"estimated_tokens": null
|
| 14 |
+
},
|
| 15 |
+
"stdout_metrics": {
|
| 16 |
+
"chars": 281,
|
| 17 |
+
"bytes_utf8": 281,
|
| 18 |
+
"lines": 4,
|
| 19 |
+
"estimated_tokens": null
|
| 20 |
+
},
|
| 21 |
+
"stderr_metrics": {
|
| 22 |
+
"chars": 0,
|
| 23 |
+
"bytes_utf8": 0,
|
| 24 |
+
"lines": 0,
|
| 25 |
+
"estimated_tokens": null
|
| 26 |
+
},
|
| 27 |
+
"parsed_output": {
|
| 28 |
+
"format": "jsonl_events",
|
| 29 |
+
"text_metrics": {
|
| 30 |
+
"chars": 280,
|
| 31 |
+
"bytes_utf8": 280,
|
| 32 |
+
"lines": 4,
|
| 33 |
+
"estimated_tokens": null
|
| 34 |
+
},
|
| 35 |
+
"usage": {}
|
| 36 |
+
},
|
| 37 |
+
"status": "failed",
|
| 38 |
+
"error": "AI CLI command failed with exit code 1: ",
|
| 39 |
+
"prompt_path": "cli/sql_prompt_attempt_1.txt",
|
| 40 |
+
"response_path": "cli/sql_response_attempt_1.txt",
|
| 41 |
+
"raw_response_path": "cli/sql_response_attempt_1.raw.txt",
|
| 42 |
+
"stderr_path": "cli/sql_stderr_attempt_1.txt"
|
| 43 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_attempt_2.metadata.json
ADDED
|
@@ -0,0 +1,45 @@
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attempt": 2,
|
| 3 |
+
"phase": "sql_generation",
|
| 4 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 5 |
+
"started_at": "2026-05-19T16:06:13.609804+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:06:20.709604+00:00",
|
| 7 |
+
"elapsed_ms": 7099.76,
|
| 8 |
+
"prompt_metrics": {
|
| 9 |
+
"chars": 16902,
|
| 10 |
+
"bytes_utf8": 16902,
|
| 11 |
+
"lines": 478,
|
| 12 |
+
"estimated_tokens": null
|
| 13 |
+
},
|
| 14 |
+
"stdout_metrics": {
|
| 15 |
+
"chars": 720,
|
| 16 |
+
"bytes_utf8": 720,
|
| 17 |
+
"lines": 4,
|
| 18 |
+
"estimated_tokens": null
|
| 19 |
+
},
|
| 20 |
+
"stderr_metrics": {
|
| 21 |
+
"chars": 0,
|
| 22 |
+
"bytes_utf8": 0,
|
| 23 |
+
"lines": 0,
|
| 24 |
+
"estimated_tokens": null
|
| 25 |
+
},
|
| 26 |
+
"parsed_output": {
|
| 27 |
+
"format": "jsonl_events",
|
| 28 |
+
"text_metrics": {
|
| 29 |
+
"chars": 359,
|
| 30 |
+
"bytes_utf8": 359,
|
| 31 |
+
"lines": 1,
|
| 32 |
+
"estimated_tokens": null
|
| 33 |
+
},
|
| 34 |
+
"usage": {
|
| 35 |
+
"input_tokens": 16666,
|
| 36 |
+
"cached_input_tokens": 12032,
|
| 37 |
+
"output_tokens": 194,
|
| 38 |
+
"reasoning_output_tokens": 100
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"prompt_path": "cli/sql_prompt_attempt_2.txt",
|
| 42 |
+
"response_path": "cli/sql_response_attempt_2.txt",
|
| 43 |
+
"raw_response_path": "cli/sql_response_attempt_2.raw.txt",
|
| 44 |
+
"stderr_path": "cli/sql_stderr_attempt_2.txt"
|
| 45 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_1.txt
ADDED
|
@@ -0,0 +1,478 @@
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|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m12
|
| 15 |
+
- dataset_name: Hotel Booking Demand
|
| 16 |
+
- table_name: m12
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: customer_type
|
| 21 |
+
- main_row_count: 119390
|
| 22 |
+
- important_fields:
|
| 23 |
+
- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel.
|
| 24 |
+
- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled.
|
| 25 |
+
- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time.
|
| 26 |
+
- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year.
|
| 27 |
+
- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month.
|
| 28 |
+
- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number.
|
| 29 |
+
- 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.
|
| 30 |
+
- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights.
|
| 31 |
+
- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights.
|
| 32 |
+
- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults.
|
| 33 |
+
- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children.
|
| 34 |
+
- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies.
|
| 35 |
+
- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal.
|
| 36 |
+
- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country.
|
| 37 |
+
- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment.
|
| 38 |
+
- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel.
|
| 39 |
+
- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest.
|
| 40 |
+
- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations.
|
| 41 |
+
- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled.
|
| 42 |
+
- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type.
|
| 43 |
+
- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type.
|
| 44 |
+
- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes.
|
| 45 |
+
- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type.
|
| 46 |
+
- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent.
|
| 47 |
+
- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company.
|
| 48 |
+
- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list.
|
| 49 |
+
- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type.
|
| 50 |
+
- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr.
|
| 51 |
+
- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces.
|
| 52 |
+
- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests.
|
| 53 |
+
- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status.
|
| 54 |
+
- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date.
|
| 55 |
+
- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']]
|
| 56 |
+
- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country']
|
| 57 |
+
- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
|
| 58 |
+
|
| 59 |
+
SQLite schema snapshot:
|
| 60 |
+
{
|
| 61 |
+
"table_name": "m12",
|
| 62 |
+
"quoted_table_name": "\"m12\"",
|
| 63 |
+
"row_count": 119390,
|
| 64 |
+
"columns": [
|
| 65 |
+
{
|
| 66 |
+
"name": "hotel",
|
| 67 |
+
"type": "TEXT",
|
| 68 |
+
"notnull": false,
|
| 69 |
+
"pk": false
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "is_canceled",
|
| 73 |
+
"type": "TEXT",
|
| 74 |
+
"notnull": false,
|
| 75 |
+
"pk": false
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "lead_time",
|
| 79 |
+
"type": "TEXT",
|
| 80 |
+
"notnull": false,
|
| 81 |
+
"pk": false
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "arrival_date_year",
|
| 85 |
+
"type": "TEXT",
|
| 86 |
+
"notnull": false,
|
| 87 |
+
"pk": false
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "arrival_date_month",
|
| 91 |
+
"type": "TEXT",
|
| 92 |
+
"notnull": false,
|
| 93 |
+
"pk": false
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "arrival_date_week_number",
|
| 97 |
+
"type": "TEXT",
|
| 98 |
+
"notnull": false,
|
| 99 |
+
"pk": false
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"name": "arrival_date_day_of_month",
|
| 103 |
+
"type": "TEXT",
|
| 104 |
+
"notnull": false,
|
| 105 |
+
"pk": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"name": "stays_in_weekend_nights",
|
| 109 |
+
"type": "TEXT",
|
| 110 |
+
"notnull": false,
|
| 111 |
+
"pk": false
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"name": "stays_in_week_nights",
|
| 115 |
+
"type": "TEXT",
|
| 116 |
+
"notnull": false,
|
| 117 |
+
"pk": false
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"name": "adults",
|
| 121 |
+
"type": "TEXT",
|
| 122 |
+
"notnull": false,
|
| 123 |
+
"pk": false
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"name": "children",
|
| 127 |
+
"type": "TEXT",
|
| 128 |
+
"notnull": false,
|
| 129 |
+
"pk": false
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "babies",
|
| 133 |
+
"type": "TEXT",
|
| 134 |
+
"notnull": false,
|
| 135 |
+
"pk": false
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"name": "meal",
|
| 139 |
+
"type": "TEXT",
|
| 140 |
+
"notnull": false,
|
| 141 |
+
"pk": false
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "country",
|
| 145 |
+
"type": "TEXT",
|
| 146 |
+
"notnull": false,
|
| 147 |
+
"pk": false
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"name": "market_segment",
|
| 151 |
+
"type": "TEXT",
|
| 152 |
+
"notnull": false,
|
| 153 |
+
"pk": false
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"name": "distribution_channel",
|
| 157 |
+
"type": "TEXT",
|
| 158 |
+
"notnull": false,
|
| 159 |
+
"pk": false
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"name": "is_repeated_guest",
|
| 163 |
+
"type": "TEXT",
|
| 164 |
+
"notnull": false,
|
| 165 |
+
"pk": false
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"name": "previous_cancellations",
|
| 169 |
+
"type": "TEXT",
|
| 170 |
+
"notnull": false,
|
| 171 |
+
"pk": false
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"name": "previous_bookings_not_canceled",
|
| 175 |
+
"type": "TEXT",
|
| 176 |
+
"notnull": false,
|
| 177 |
+
"pk": false
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"name": "reserved_room_type",
|
| 181 |
+
"type": "TEXT",
|
| 182 |
+
"notnull": false,
|
| 183 |
+
"pk": false
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"name": "assigned_room_type",
|
| 187 |
+
"type": "TEXT",
|
| 188 |
+
"notnull": false,
|
| 189 |
+
"pk": false
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"name": "booking_changes",
|
| 193 |
+
"type": "TEXT",
|
| 194 |
+
"notnull": false,
|
| 195 |
+
"pk": false
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"name": "deposit_type",
|
| 199 |
+
"type": "TEXT",
|
| 200 |
+
"notnull": false,
|
| 201 |
+
"pk": false
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"name": "agent",
|
| 205 |
+
"type": "TEXT",
|
| 206 |
+
"notnull": false,
|
| 207 |
+
"pk": false
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"name": "company",
|
| 211 |
+
"type": "TEXT",
|
| 212 |
+
"notnull": false,
|
| 213 |
+
"pk": false
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"name": "days_in_waiting_list",
|
| 217 |
+
"type": "TEXT",
|
| 218 |
+
"notnull": false,
|
| 219 |
+
"pk": false
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"name": "customer_type",
|
| 223 |
+
"type": "TEXT",
|
| 224 |
+
"notnull": false,
|
| 225 |
+
"pk": false
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"name": "adr",
|
| 229 |
+
"type": "TEXT",
|
| 230 |
+
"notnull": false,
|
| 231 |
+
"pk": false
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"name": "required_car_parking_spaces",
|
| 235 |
+
"type": "TEXT",
|
| 236 |
+
"notnull": false,
|
| 237 |
+
"pk": false
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"name": "total_of_special_requests",
|
| 241 |
+
"type": "TEXT",
|
| 242 |
+
"notnull": false,
|
| 243 |
+
"pk": false
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"name": "reservation_status",
|
| 247 |
+
"type": "TEXT",
|
| 248 |
+
"notnull": false,
|
| 249 |
+
"pk": false
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"name": "reservation_status_date",
|
| 253 |
+
"type": "TEXT",
|
| 254 |
+
"notnull": false,
|
| 255 |
+
"pk": false
|
| 256 |
+
}
|
| 257 |
+
],
|
| 258 |
+
"sample_rows": [
|
| 259 |
+
{
|
| 260 |
+
"hotel": "Resort Hotel",
|
| 261 |
+
"is_canceled": "0",
|
| 262 |
+
"lead_time": "342",
|
| 263 |
+
"arrival_date_year": "2015",
|
| 264 |
+
"arrival_date_month": "July",
|
| 265 |
+
"arrival_date_week_number": "27",
|
| 266 |
+
"arrival_date_day_of_month": "1",
|
| 267 |
+
"stays_in_weekend_nights": "0",
|
| 268 |
+
"stays_in_week_nights": "0",
|
| 269 |
+
"adults": "2",
|
| 270 |
+
"children": "0",
|
| 271 |
+
"babies": "0",
|
| 272 |
+
"meal": "BB",
|
| 273 |
+
"country": "PRT",
|
| 274 |
+
"market_segment": "Direct",
|
| 275 |
+
"distribution_channel": "Direct",
|
| 276 |
+
"is_repeated_guest": "0",
|
| 277 |
+
"previous_cancellations": "0",
|
| 278 |
+
"previous_bookings_not_canceled": "0",
|
| 279 |
+
"reserved_room_type": "C",
|
| 280 |
+
"assigned_room_type": "C",
|
| 281 |
+
"booking_changes": "3",
|
| 282 |
+
"deposit_type": "No Deposit",
|
| 283 |
+
"agent": "",
|
| 284 |
+
"company": "",
|
| 285 |
+
"days_in_waiting_list": "0",
|
| 286 |
+
"customer_type": "Transient",
|
| 287 |
+
"adr": "0",
|
| 288 |
+
"required_car_parking_spaces": "0",
|
| 289 |
+
"total_of_special_requests": "0",
|
| 290 |
+
"reservation_status": "Check-Out",
|
| 291 |
+
"reservation_status_date": "2015-07-01"
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"hotel": "Resort Hotel",
|
| 295 |
+
"is_canceled": "0",
|
| 296 |
+
"lead_time": "737",
|
| 297 |
+
"arrival_date_year": "2015",
|
| 298 |
+
"arrival_date_month": "July",
|
| 299 |
+
"arrival_date_week_number": "27",
|
| 300 |
+
"arrival_date_day_of_month": "1",
|
| 301 |
+
"stays_in_weekend_nights": "0",
|
| 302 |
+
"stays_in_week_nights": "0",
|
| 303 |
+
"adults": "2",
|
| 304 |
+
"children": "0",
|
| 305 |
+
"babies": "0",
|
| 306 |
+
"meal": "BB",
|
| 307 |
+
"country": "PRT",
|
| 308 |
+
"market_segment": "Direct",
|
| 309 |
+
"distribution_channel": "Direct",
|
| 310 |
+
"is_repeated_guest": "0",
|
| 311 |
+
"previous_cancellations": "0",
|
| 312 |
+
"previous_bookings_not_canceled": "0",
|
| 313 |
+
"reserved_room_type": "C",
|
| 314 |
+
"assigned_room_type": "C",
|
| 315 |
+
"booking_changes": "4",
|
| 316 |
+
"deposit_type": "No Deposit",
|
| 317 |
+
"agent": "",
|
| 318 |
+
"company": "",
|
| 319 |
+
"days_in_waiting_list": "0",
|
| 320 |
+
"customer_type": "Transient",
|
| 321 |
+
"adr": "0",
|
| 322 |
+
"required_car_parking_spaces": "0",
|
| 323 |
+
"total_of_special_requests": "0",
|
| 324 |
+
"reservation_status": "Check-Out",
|
| 325 |
+
"reservation_status_date": "2015-07-01"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"hotel": "Resort Hotel",
|
| 329 |
+
"is_canceled": "0",
|
| 330 |
+
"lead_time": "7",
|
| 331 |
+
"arrival_date_year": "2015",
|
| 332 |
+
"arrival_date_month": "July",
|
| 333 |
+
"arrival_date_week_number": "27",
|
| 334 |
+
"arrival_date_day_of_month": "1",
|
| 335 |
+
"stays_in_weekend_nights": "0",
|
| 336 |
+
"stays_in_week_nights": "1",
|
| 337 |
+
"adults": "1",
|
| 338 |
+
"children": "0",
|
| 339 |
+
"babies": "0",
|
| 340 |
+
"meal": "BB",
|
| 341 |
+
"country": "GBR",
|
| 342 |
+
"market_segment": "Direct",
|
| 343 |
+
"distribution_channel": "Direct",
|
| 344 |
+
"is_repeated_guest": "0",
|
| 345 |
+
"previous_cancellations": "0",
|
| 346 |
+
"previous_bookings_not_canceled": "0",
|
| 347 |
+
"reserved_room_type": "A",
|
| 348 |
+
"assigned_room_type": "C",
|
| 349 |
+
"booking_changes": "0",
|
| 350 |
+
"deposit_type": "No Deposit",
|
| 351 |
+
"agent": "",
|
| 352 |
+
"company": "",
|
| 353 |
+
"days_in_waiting_list": "0",
|
| 354 |
+
"customer_type": "Transient",
|
| 355 |
+
"adr": "75",
|
| 356 |
+
"required_car_parking_spaces": "0",
|
| 357 |
+
"total_of_special_requests": "0",
|
| 358 |
+
"reservation_status": "Check-Out",
|
| 359 |
+
"reservation_status_date": "2015-07-02"
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"hotel": "Resort Hotel",
|
| 363 |
+
"is_canceled": "0",
|
| 364 |
+
"lead_time": "13",
|
| 365 |
+
"arrival_date_year": "2015",
|
| 366 |
+
"arrival_date_month": "July",
|
| 367 |
+
"arrival_date_week_number": "27",
|
| 368 |
+
"arrival_date_day_of_month": "1",
|
| 369 |
+
"stays_in_weekend_nights": "0",
|
| 370 |
+
"stays_in_week_nights": "1",
|
| 371 |
+
"adults": "1",
|
| 372 |
+
"children": "0",
|
| 373 |
+
"babies": "0",
|
| 374 |
+
"meal": "BB",
|
| 375 |
+
"country": "GBR",
|
| 376 |
+
"market_segment": "Corporate",
|
| 377 |
+
"distribution_channel": "Corporate",
|
| 378 |
+
"is_repeated_guest": "0",
|
| 379 |
+
"previous_cancellations": "0",
|
| 380 |
+
"previous_bookings_not_canceled": "0",
|
| 381 |
+
"reserved_room_type": "A",
|
| 382 |
+
"assigned_room_type": "A",
|
| 383 |
+
"booking_changes": "0",
|
| 384 |
+
"deposit_type": "No Deposit",
|
| 385 |
+
"agent": "304",
|
| 386 |
+
"company": "",
|
| 387 |
+
"days_in_waiting_list": "0",
|
| 388 |
+
"customer_type": "Transient",
|
| 389 |
+
"adr": "75",
|
| 390 |
+
"required_car_parking_spaces": "0",
|
| 391 |
+
"total_of_special_requests": "0",
|
| 392 |
+
"reservation_status": "Check-Out",
|
| 393 |
+
"reservation_status_date": "2015-07-02"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"hotel": "Resort Hotel",
|
| 397 |
+
"is_canceled": "0",
|
| 398 |
+
"lead_time": "14",
|
| 399 |
+
"arrival_date_year": "2015",
|
| 400 |
+
"arrival_date_month": "July",
|
| 401 |
+
"arrival_date_week_number": "27",
|
| 402 |
+
"arrival_date_day_of_month": "1",
|
| 403 |
+
"stays_in_weekend_nights": "0",
|
| 404 |
+
"stays_in_week_nights": "2",
|
| 405 |
+
"adults": "2",
|
| 406 |
+
"children": "0",
|
| 407 |
+
"babies": "0",
|
| 408 |
+
"meal": "BB",
|
| 409 |
+
"country": "GBR",
|
| 410 |
+
"market_segment": "Online TA",
|
| 411 |
+
"distribution_channel": "TA/TO",
|
| 412 |
+
"is_repeated_guest": "0",
|
| 413 |
+
"previous_cancellations": "0",
|
| 414 |
+
"previous_bookings_not_canceled": "0",
|
| 415 |
+
"reserved_room_type": "A",
|
| 416 |
+
"assigned_room_type": "A",
|
| 417 |
+
"booking_changes": "0",
|
| 418 |
+
"deposit_type": "No Deposit",
|
| 419 |
+
"agent": "240",
|
| 420 |
+
"company": "",
|
| 421 |
+
"days_in_waiting_list": "0",
|
| 422 |
+
"customer_type": "Transient",
|
| 423 |
+
"adr": "98",
|
| 424 |
+
"required_car_parking_spaces": "0",
|
| 425 |
+
"total_of_special_requests": "1",
|
| 426 |
+
"reservation_status": "Check-Out",
|
| 427 |
+
"reservation_status_date": "2015-07-03"
|
| 428 |
+
}
|
| 429 |
+
]
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
Shortlisted templates:
|
| 433 |
+
[
|
| 434 |
+
{
|
| 435 |
+
"template_id": "tpl_tail_low_support_group_count_v2",
|
| 436 |
+
"template_name": "Low-Support Group Count",
|
| 437 |
+
"primary_family": "tail_rarity_structure",
|
| 438 |
+
"portability": "yes",
|
| 439 |
+
"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};",
|
| 440 |
+
"required_roles": [
|
| 441 |
+
"group_col"
|
| 442 |
+
]
|
| 443 |
+
}
|
| 444 |
+
]
|
| 445 |
+
|
| 446 |
+
Problem instance:
|
| 447 |
+
{
|
| 448 |
+
"dataset_id": "m12",
|
| 449 |
+
"question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=distribution_channel.",
|
| 450 |
+
"planned_template_id": "tpl_tail_low_support_group_count_v2",
|
| 451 |
+
"bindings": {
|
| 452 |
+
"group_col": "distribution_channel",
|
| 453 |
+
"top_k": 12,
|
| 454 |
+
"top_n": 5,
|
| 455 |
+
"num_tiles": 10,
|
| 456 |
+
"percentile_value": 0.95,
|
| 457 |
+
"z_threshold": 2.0,
|
| 458 |
+
"fraction_threshold": 0.1,
|
| 459 |
+
"baseline_multiplier": 1.5,
|
| 460 |
+
"baseline_fraction": 0.1,
|
| 461 |
+
"min_group_size": 5,
|
| 462 |
+
"min_support": 5,
|
| 463 |
+
"measure_threshold": 223.0,
|
| 464 |
+
"time_grain": "month",
|
| 465 |
+
"lookback_rows": 3,
|
| 466 |
+
"current_period_start": "'2024-01-01'",
|
| 467 |
+
"current_period_end": "'2024-04-01'",
|
| 468 |
+
"previous_period_start": "'2023-10-01'",
|
| 469 |
+
"previous_period_end": "'2024-01-01'",
|
| 470 |
+
"drift_ratio_threshold": 0.8
|
| 471 |
+
},
|
| 472 |
+
"can_vary": [],
|
| 473 |
+
"must_fix": [],
|
| 474 |
+
"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};"
|
| 475 |
+
}
|
| 476 |
+
|
| 477 |
+
Repair context:
|
| 478 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_prompt_attempt_2.txt
ADDED
|
@@ -0,0 +1,478 @@
|
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|
| 1 |
+
You are generating one SQLite SELECT query for a single-table SQL QA task.
|
| 2 |
+
Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
|
| 3 |
+
Rules:
|
| 4 |
+
- Use only the provided table and columns.
|
| 5 |
+
- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
|
| 6 |
+
- Prefer the planned template and bound roles when provided.
|
| 7 |
+
- Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
|
| 8 |
+
- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
|
| 9 |
+
- Quote identifiers with double quotes.
|
| 10 |
+
- Return no markdown and no extra prose.
|
| 11 |
+
|
| 12 |
+
Dataset context:
|
| 13 |
+
Dataset context for SQL QA:
|
| 14 |
+
- dataset_id: m12
|
| 15 |
+
- dataset_name: Hotel Booking Demand
|
| 16 |
+
- table_name: m12
|
| 17 |
+
- table_layout: single-table dataset (do not assume joins).
|
| 18 |
+
- row_semantics: One row is one tabular observation with 31 feature columns and target `customer_type`.
|
| 19 |
+
- task_type: classification
|
| 20 |
+
- target_column: customer_type
|
| 21 |
+
- main_row_count: 119390
|
| 22 |
+
- important_fields:
|
| 23 |
+
- hotel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for hotel.
|
| 24 |
+
- is_canceled: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is canceled.
|
| 25 |
+
- lead_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for lead time.
|
| 26 |
+
- arrival_date_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date year.
|
| 27 |
+
- arrival_date_month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for arrival date month.
|
| 28 |
+
- arrival_date_week_number: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for arrival date week number.
|
| 29 |
+
- 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.
|
| 30 |
+
- stays_in_weekend_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in weekend nights.
|
| 31 |
+
- stays_in_week_nights: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for stays in week nights.
|
| 32 |
+
- adults: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for adults.
|
| 33 |
+
- children: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'missingness_candidate'] desc=Numeric field for children.
|
| 34 |
+
- babies: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for babies.
|
| 35 |
+
- meal: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for meal.
|
| 36 |
+
- country: role=feature, type=categorical_nominal. tags=['condition_candidate', 'missingness_candidate'] desc=Categorical field for country.
|
| 37 |
+
- market_segment: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for market segment.
|
| 38 |
+
- distribution_channel: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for distribution channel.
|
| 39 |
+
- is_repeated_guest: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for is repeated guest.
|
| 40 |
+
- previous_cancellations: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for previous cancellations.
|
| 41 |
+
- previous_bookings_not_canceled: role=feature, type=categorical_binary. tags=['condition_candidate'] desc=Categorical field for previous bookings not canceled.
|
| 42 |
+
- reserved_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reserved room type.
|
| 43 |
+
- assigned_room_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for assigned room type.
|
| 44 |
+
- booking_changes: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for booking changes.
|
| 45 |
+
- deposit_type: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for deposit type.
|
| 46 |
+
- agent: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for agent.
|
| 47 |
+
- company: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate', 'missingness_candidate'] desc=Numeric field for company.
|
| 48 |
+
- days_in_waiting_list: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for days in waiting list.
|
| 49 |
+
- customer_type: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for customer type.
|
| 50 |
+
- adr: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for adr.
|
| 51 |
+
- required_car_parking_spaces: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for required car parking spaces.
|
| 52 |
+
- total_of_special_requests: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for total of special requests.
|
| 53 |
+
- reservation_status: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for reservation status.
|
| 54 |
+
- reservation_status_date: role=feature, type=categorical_nominal. tags=['condition_candidate', 'high_cardinality_candidate'] desc=Categorical field for reservation status date.
|
| 55 |
+
- useful_field_combinations: [['hotel', 'is_canceled', 'customer_type'], ['hotel', 'lead_time', 'customer_type'], ['hotel', 'hotel', 'customer_type']]
|
| 56 |
+
- fields_requiring_caution: ['customer_type', 'lead_time', 'agent', 'company', 'children', 'country']
|
| 57 |
+
- source_url: https://www.kaggle.com/datasets/jessemostipak/hotel-booking-demand
|
| 58 |
+
|
| 59 |
+
SQLite schema snapshot:
|
| 60 |
+
{
|
| 61 |
+
"table_name": "m12",
|
| 62 |
+
"quoted_table_name": "\"m12\"",
|
| 63 |
+
"row_count": 119390,
|
| 64 |
+
"columns": [
|
| 65 |
+
{
|
| 66 |
+
"name": "hotel",
|
| 67 |
+
"type": "TEXT",
|
| 68 |
+
"notnull": false,
|
| 69 |
+
"pk": false
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"name": "is_canceled",
|
| 73 |
+
"type": "TEXT",
|
| 74 |
+
"notnull": false,
|
| 75 |
+
"pk": false
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"name": "lead_time",
|
| 79 |
+
"type": "TEXT",
|
| 80 |
+
"notnull": false,
|
| 81 |
+
"pk": false
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"name": "arrival_date_year",
|
| 85 |
+
"type": "TEXT",
|
| 86 |
+
"notnull": false,
|
| 87 |
+
"pk": false
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"name": "arrival_date_month",
|
| 91 |
+
"type": "TEXT",
|
| 92 |
+
"notnull": false,
|
| 93 |
+
"pk": false
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "arrival_date_week_number",
|
| 97 |
+
"type": "TEXT",
|
| 98 |
+
"notnull": false,
|
| 99 |
+
"pk": false
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"name": "arrival_date_day_of_month",
|
| 103 |
+
"type": "TEXT",
|
| 104 |
+
"notnull": false,
|
| 105 |
+
"pk": false
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"name": "stays_in_weekend_nights",
|
| 109 |
+
"type": "TEXT",
|
| 110 |
+
"notnull": false,
|
| 111 |
+
"pk": false
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"name": "stays_in_week_nights",
|
| 115 |
+
"type": "TEXT",
|
| 116 |
+
"notnull": false,
|
| 117 |
+
"pk": false
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"name": "adults",
|
| 121 |
+
"type": "TEXT",
|
| 122 |
+
"notnull": false,
|
| 123 |
+
"pk": false
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"name": "children",
|
| 127 |
+
"type": "TEXT",
|
| 128 |
+
"notnull": false,
|
| 129 |
+
"pk": false
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"name": "babies",
|
| 133 |
+
"type": "TEXT",
|
| 134 |
+
"notnull": false,
|
| 135 |
+
"pk": false
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"name": "meal",
|
| 139 |
+
"type": "TEXT",
|
| 140 |
+
"notnull": false,
|
| 141 |
+
"pk": false
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"name": "country",
|
| 145 |
+
"type": "TEXT",
|
| 146 |
+
"notnull": false,
|
| 147 |
+
"pk": false
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"name": "market_segment",
|
| 151 |
+
"type": "TEXT",
|
| 152 |
+
"notnull": false,
|
| 153 |
+
"pk": false
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"name": "distribution_channel",
|
| 157 |
+
"type": "TEXT",
|
| 158 |
+
"notnull": false,
|
| 159 |
+
"pk": false
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"name": "is_repeated_guest",
|
| 163 |
+
"type": "TEXT",
|
| 164 |
+
"notnull": false,
|
| 165 |
+
"pk": false
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"name": "previous_cancellations",
|
| 169 |
+
"type": "TEXT",
|
| 170 |
+
"notnull": false,
|
| 171 |
+
"pk": false
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"name": "previous_bookings_not_canceled",
|
| 175 |
+
"type": "TEXT",
|
| 176 |
+
"notnull": false,
|
| 177 |
+
"pk": false
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"name": "reserved_room_type",
|
| 181 |
+
"type": "TEXT",
|
| 182 |
+
"notnull": false,
|
| 183 |
+
"pk": false
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"name": "assigned_room_type",
|
| 187 |
+
"type": "TEXT",
|
| 188 |
+
"notnull": false,
|
| 189 |
+
"pk": false
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"name": "booking_changes",
|
| 193 |
+
"type": "TEXT",
|
| 194 |
+
"notnull": false,
|
| 195 |
+
"pk": false
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"name": "deposit_type",
|
| 199 |
+
"type": "TEXT",
|
| 200 |
+
"notnull": false,
|
| 201 |
+
"pk": false
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"name": "agent",
|
| 205 |
+
"type": "TEXT",
|
| 206 |
+
"notnull": false,
|
| 207 |
+
"pk": false
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"name": "company",
|
| 211 |
+
"type": "TEXT",
|
| 212 |
+
"notnull": false,
|
| 213 |
+
"pk": false
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"name": "days_in_waiting_list",
|
| 217 |
+
"type": "TEXT",
|
| 218 |
+
"notnull": false,
|
| 219 |
+
"pk": false
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"name": "customer_type",
|
| 223 |
+
"type": "TEXT",
|
| 224 |
+
"notnull": false,
|
| 225 |
+
"pk": false
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"name": "adr",
|
| 229 |
+
"type": "TEXT",
|
| 230 |
+
"notnull": false,
|
| 231 |
+
"pk": false
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"name": "required_car_parking_spaces",
|
| 235 |
+
"type": "TEXT",
|
| 236 |
+
"notnull": false,
|
| 237 |
+
"pk": false
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"name": "total_of_special_requests",
|
| 241 |
+
"type": "TEXT",
|
| 242 |
+
"notnull": false,
|
| 243 |
+
"pk": false
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"name": "reservation_status",
|
| 247 |
+
"type": "TEXT",
|
| 248 |
+
"notnull": false,
|
| 249 |
+
"pk": false
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"name": "reservation_status_date",
|
| 253 |
+
"type": "TEXT",
|
| 254 |
+
"notnull": false,
|
| 255 |
+
"pk": false
|
| 256 |
+
}
|
| 257 |
+
],
|
| 258 |
+
"sample_rows": [
|
| 259 |
+
{
|
| 260 |
+
"hotel": "Resort Hotel",
|
| 261 |
+
"is_canceled": "0",
|
| 262 |
+
"lead_time": "342",
|
| 263 |
+
"arrival_date_year": "2015",
|
| 264 |
+
"arrival_date_month": "July",
|
| 265 |
+
"arrival_date_week_number": "27",
|
| 266 |
+
"arrival_date_day_of_month": "1",
|
| 267 |
+
"stays_in_weekend_nights": "0",
|
| 268 |
+
"stays_in_week_nights": "0",
|
| 269 |
+
"adults": "2",
|
| 270 |
+
"children": "0",
|
| 271 |
+
"babies": "0",
|
| 272 |
+
"meal": "BB",
|
| 273 |
+
"country": "PRT",
|
| 274 |
+
"market_segment": "Direct",
|
| 275 |
+
"distribution_channel": "Direct",
|
| 276 |
+
"is_repeated_guest": "0",
|
| 277 |
+
"previous_cancellations": "0",
|
| 278 |
+
"previous_bookings_not_canceled": "0",
|
| 279 |
+
"reserved_room_type": "C",
|
| 280 |
+
"assigned_room_type": "C",
|
| 281 |
+
"booking_changes": "3",
|
| 282 |
+
"deposit_type": "No Deposit",
|
| 283 |
+
"agent": "",
|
| 284 |
+
"company": "",
|
| 285 |
+
"days_in_waiting_list": "0",
|
| 286 |
+
"customer_type": "Transient",
|
| 287 |
+
"adr": "0",
|
| 288 |
+
"required_car_parking_spaces": "0",
|
| 289 |
+
"total_of_special_requests": "0",
|
| 290 |
+
"reservation_status": "Check-Out",
|
| 291 |
+
"reservation_status_date": "2015-07-01"
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"hotel": "Resort Hotel",
|
| 295 |
+
"is_canceled": "0",
|
| 296 |
+
"lead_time": "737",
|
| 297 |
+
"arrival_date_year": "2015",
|
| 298 |
+
"arrival_date_month": "July",
|
| 299 |
+
"arrival_date_week_number": "27",
|
| 300 |
+
"arrival_date_day_of_month": "1",
|
| 301 |
+
"stays_in_weekend_nights": "0",
|
| 302 |
+
"stays_in_week_nights": "0",
|
| 303 |
+
"adults": "2",
|
| 304 |
+
"children": "0",
|
| 305 |
+
"babies": "0",
|
| 306 |
+
"meal": "BB",
|
| 307 |
+
"country": "PRT",
|
| 308 |
+
"market_segment": "Direct",
|
| 309 |
+
"distribution_channel": "Direct",
|
| 310 |
+
"is_repeated_guest": "0",
|
| 311 |
+
"previous_cancellations": "0",
|
| 312 |
+
"previous_bookings_not_canceled": "0",
|
| 313 |
+
"reserved_room_type": "C",
|
| 314 |
+
"assigned_room_type": "C",
|
| 315 |
+
"booking_changes": "4",
|
| 316 |
+
"deposit_type": "No Deposit",
|
| 317 |
+
"agent": "",
|
| 318 |
+
"company": "",
|
| 319 |
+
"days_in_waiting_list": "0",
|
| 320 |
+
"customer_type": "Transient",
|
| 321 |
+
"adr": "0",
|
| 322 |
+
"required_car_parking_spaces": "0",
|
| 323 |
+
"total_of_special_requests": "0",
|
| 324 |
+
"reservation_status": "Check-Out",
|
| 325 |
+
"reservation_status_date": "2015-07-01"
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"hotel": "Resort Hotel",
|
| 329 |
+
"is_canceled": "0",
|
| 330 |
+
"lead_time": "7",
|
| 331 |
+
"arrival_date_year": "2015",
|
| 332 |
+
"arrival_date_month": "July",
|
| 333 |
+
"arrival_date_week_number": "27",
|
| 334 |
+
"arrival_date_day_of_month": "1",
|
| 335 |
+
"stays_in_weekend_nights": "0",
|
| 336 |
+
"stays_in_week_nights": "1",
|
| 337 |
+
"adults": "1",
|
| 338 |
+
"children": "0",
|
| 339 |
+
"babies": "0",
|
| 340 |
+
"meal": "BB",
|
| 341 |
+
"country": "GBR",
|
| 342 |
+
"market_segment": "Direct",
|
| 343 |
+
"distribution_channel": "Direct",
|
| 344 |
+
"is_repeated_guest": "0",
|
| 345 |
+
"previous_cancellations": "0",
|
| 346 |
+
"previous_bookings_not_canceled": "0",
|
| 347 |
+
"reserved_room_type": "A",
|
| 348 |
+
"assigned_room_type": "C",
|
| 349 |
+
"booking_changes": "0",
|
| 350 |
+
"deposit_type": "No Deposit",
|
| 351 |
+
"agent": "",
|
| 352 |
+
"company": "",
|
| 353 |
+
"days_in_waiting_list": "0",
|
| 354 |
+
"customer_type": "Transient",
|
| 355 |
+
"adr": "75",
|
| 356 |
+
"required_car_parking_spaces": "0",
|
| 357 |
+
"total_of_special_requests": "0",
|
| 358 |
+
"reservation_status": "Check-Out",
|
| 359 |
+
"reservation_status_date": "2015-07-02"
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"hotel": "Resort Hotel",
|
| 363 |
+
"is_canceled": "0",
|
| 364 |
+
"lead_time": "13",
|
| 365 |
+
"arrival_date_year": "2015",
|
| 366 |
+
"arrival_date_month": "July",
|
| 367 |
+
"arrival_date_week_number": "27",
|
| 368 |
+
"arrival_date_day_of_month": "1",
|
| 369 |
+
"stays_in_weekend_nights": "0",
|
| 370 |
+
"stays_in_week_nights": "1",
|
| 371 |
+
"adults": "1",
|
| 372 |
+
"children": "0",
|
| 373 |
+
"babies": "0",
|
| 374 |
+
"meal": "BB",
|
| 375 |
+
"country": "GBR",
|
| 376 |
+
"market_segment": "Corporate",
|
| 377 |
+
"distribution_channel": "Corporate",
|
| 378 |
+
"is_repeated_guest": "0",
|
| 379 |
+
"previous_cancellations": "0",
|
| 380 |
+
"previous_bookings_not_canceled": "0",
|
| 381 |
+
"reserved_room_type": "A",
|
| 382 |
+
"assigned_room_type": "A",
|
| 383 |
+
"booking_changes": "0",
|
| 384 |
+
"deposit_type": "No Deposit",
|
| 385 |
+
"agent": "304",
|
| 386 |
+
"company": "",
|
| 387 |
+
"days_in_waiting_list": "0",
|
| 388 |
+
"customer_type": "Transient",
|
| 389 |
+
"adr": "75",
|
| 390 |
+
"required_car_parking_spaces": "0",
|
| 391 |
+
"total_of_special_requests": "0",
|
| 392 |
+
"reservation_status": "Check-Out",
|
| 393 |
+
"reservation_status_date": "2015-07-02"
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"hotel": "Resort Hotel",
|
| 397 |
+
"is_canceled": "0",
|
| 398 |
+
"lead_time": "14",
|
| 399 |
+
"arrival_date_year": "2015",
|
| 400 |
+
"arrival_date_month": "July",
|
| 401 |
+
"arrival_date_week_number": "27",
|
| 402 |
+
"arrival_date_day_of_month": "1",
|
| 403 |
+
"stays_in_weekend_nights": "0",
|
| 404 |
+
"stays_in_week_nights": "2",
|
| 405 |
+
"adults": "2",
|
| 406 |
+
"children": "0",
|
| 407 |
+
"babies": "0",
|
| 408 |
+
"meal": "BB",
|
| 409 |
+
"country": "GBR",
|
| 410 |
+
"market_segment": "Online TA",
|
| 411 |
+
"distribution_channel": "TA/TO",
|
| 412 |
+
"is_repeated_guest": "0",
|
| 413 |
+
"previous_cancellations": "0",
|
| 414 |
+
"previous_bookings_not_canceled": "0",
|
| 415 |
+
"reserved_room_type": "A",
|
| 416 |
+
"assigned_room_type": "A",
|
| 417 |
+
"booking_changes": "0",
|
| 418 |
+
"deposit_type": "No Deposit",
|
| 419 |
+
"agent": "240",
|
| 420 |
+
"company": "",
|
| 421 |
+
"days_in_waiting_list": "0",
|
| 422 |
+
"customer_type": "Transient",
|
| 423 |
+
"adr": "98",
|
| 424 |
+
"required_car_parking_spaces": "0",
|
| 425 |
+
"total_of_special_requests": "1",
|
| 426 |
+
"reservation_status": "Check-Out",
|
| 427 |
+
"reservation_status_date": "2015-07-03"
|
| 428 |
+
}
|
| 429 |
+
]
|
| 430 |
+
}
|
| 431 |
+
|
| 432 |
+
Shortlisted templates:
|
| 433 |
+
[
|
| 434 |
+
{
|
| 435 |
+
"template_id": "tpl_tail_low_support_group_count_v2",
|
| 436 |
+
"template_name": "Low-Support Group Count",
|
| 437 |
+
"primary_family": "tail_rarity_structure",
|
| 438 |
+
"portability": "yes",
|
| 439 |
+
"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};",
|
| 440 |
+
"required_roles": [
|
| 441 |
+
"group_col"
|
| 442 |
+
]
|
| 443 |
+
}
|
| 444 |
+
]
|
| 445 |
+
|
| 446 |
+
Problem instance:
|
| 447 |
+
{
|
| 448 |
+
"dataset_id": "m12",
|
| 449 |
+
"question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=distribution_channel.",
|
| 450 |
+
"planned_template_id": "tpl_tail_low_support_group_count_v2",
|
| 451 |
+
"bindings": {
|
| 452 |
+
"group_col": "distribution_channel",
|
| 453 |
+
"top_k": 12,
|
| 454 |
+
"top_n": 5,
|
| 455 |
+
"num_tiles": 10,
|
| 456 |
+
"percentile_value": 0.95,
|
| 457 |
+
"z_threshold": 2.0,
|
| 458 |
+
"fraction_threshold": 0.1,
|
| 459 |
+
"baseline_multiplier": 1.5,
|
| 460 |
+
"baseline_fraction": 0.1,
|
| 461 |
+
"min_group_size": 5,
|
| 462 |
+
"min_support": 5,
|
| 463 |
+
"measure_threshold": 223.0,
|
| 464 |
+
"time_grain": "month",
|
| 465 |
+
"lookback_rows": 3,
|
| 466 |
+
"current_period_start": "'2024-01-01'",
|
| 467 |
+
"current_period_end": "'2024-04-01'",
|
| 468 |
+
"previous_period_start": "'2023-10-01'",
|
| 469 |
+
"previous_period_end": "'2024-01-01'",
|
| 470 |
+
"drift_ratio_threshold": 0.8
|
| 471 |
+
},
|
| 472 |
+
"can_vary": [],
|
| 473 |
+
"must_fix": [],
|
| 474 |
+
"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};"
|
| 475 |
+
}
|
| 476 |
+
|
| 477 |
+
Repair context:
|
| 478 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40fc-cb4a-78e1-8229-078ca79a5516"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40fc-cb4a-78e1-8229-078ca79a5516"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"error","message":"Quota exceeded. Check your plan and billing details."}
|
| 4 |
+
{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_2.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40fc-dc6e-7df0-952d-dfb1a115f150"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"distribution_channel\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m12\\\"\\nGROUP BY \\\"distribution_channel\\\"\\nORDER BY \\\"support\\\" ASC, \\\"distribution_channel\\\"\\nLIMIT 12;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"distribution_channel\\\" and top_k=12.\"}"}}
|
| 4 |
+
{"type":"turn.completed","usage":{"input_tokens":16666,"cached_input_tokens":12032,"output_tokens":194,"reasoning_output_tokens":100}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_response_attempt_2.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"distribution_channel\",\n COUNT(*) AS \"support\"\nFROM \"m12\"\nGROUP BY \"distribution_channel\"\nORDER BY \"support\" ASC, \"distribution_channel\"\nLIMIT 12;","notes":"Applied the Low-Support Group Count template with group_col bound to \"distribution_channel\" and top_k=12."}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0e4b12ac713d4a5f/cli/sql_stderr_attempt_2.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/conversation.jsonl
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 17244, "bytes_utf8": 17244, "lines": 484, "estimated_tokens": null}}
|
| 2 |
+
{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 501, "bytes_utf8": 501, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16752, "cached_input_tokens": 12032, "output_tokens": 384, "reasoning_output_tokens": 257}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_100f748beb8bff70/cli/session_summary.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"engine": "v2-cli:codex",
|
| 3 |
+
"command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
|
| 4 |
+
"ai_cli_calls": 1,
|
| 5 |
+
"usage_summary": {
|
| 6 |
+
"dataset_id": "m12",
|
| 7 |
+
"model": "v2-cli:codex",
|
| 8 |
+
"run_id": "v2q_m12_100f748beb8bff70",
|
| 9 |
+
"api_calls": 0,
|
| 10 |
+
"input_tokens": 16752,
|
| 11 |
+
"cached_input_tokens": 12032,
|
| 12 |
+
"output_tokens": 384,
|
| 13 |
+
"total_tokens": 17136,
|
| 14 |
+
"cost_usd": 0.0,
|
| 15 |
+
"ai_cli_calls": 1,
|
| 16 |
+
"estimated_input_tokens": 0,
|
| 17 |
+
"estimated_output_tokens": 0,
|
| 18 |
+
"estimated_total_tokens": 0,
|
| 19 |
+
"usage_source": "ai_cli_json_usage",
|
| 20 |
+
"cli_elapsed_ms_total": 9874.09,
|
| 21 |
+
"sql_execution_elapsed_ms_total": 83.59,
|
| 22 |
+
"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",
|
| 23 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 24 |
+
}
|
| 25 |
+
}
|