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- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/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_00f9a0eebf4d7fc9/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_00f9a0eebf4d7fc9/cli/sql_response_attempt_2.txt +4 -0
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- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_attempt_1.metadata.json +43 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_attempt_2.metadata.json +43 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_prompt_attempt_1.txt +478 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_prompt_attempt_2.txt +478 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_response_attempt_1.raw.txt +4 -0
- Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/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_00f9a0eebf4d7fc9/cli/sql_attempt_2.metadata.json
ADDED
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@@ -0,0 +1,43 @@
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{
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"phase": "sql_generation",
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| 4 |
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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_2.txt",
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"response_path": "cli/sql_response_attempt_2.txt",
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Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_prompt_attempt_1.txt
ADDED
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@@ -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_condition_rate",
|
| 436 |
+
"template_name": "Grouped Condition Rate",
|
| 437 |
+
"primary_family": "conditional_dependency_structure",
|
| 438 |
+
"portability": "yes",
|
| 439 |
+
"sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
|
| 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 Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=agent, condition_col=babies.",
|
| 451 |
+
"planned_template_id": "tpl_m4_group_condition_rate",
|
| 452 |
+
"bindings": {
|
| 453 |
+
"group_col": "agent",
|
| 454 |
+
"condition_col": "babies",
|
| 455 |
+
"condition_value": "0",
|
| 456 |
+
"positive_value": "0",
|
| 457 |
+
"negative_value": "1",
|
| 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": 3.0,
|
| 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": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
|
| 480 |
+
}
|
| 481 |
+
|
| 482 |
+
Repair context:
|
| 483 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_prompt_attempt_2.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_condition_rate",
|
| 436 |
+
"template_name": "Grouped Condition Rate",
|
| 437 |
+
"primary_family": "conditional_dependency_structure",
|
| 438 |
+
"portability": "yes",
|
| 439 |
+
"sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;",
|
| 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 Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=agent, condition_col=babies.",
|
| 451 |
+
"planned_template_id": "tpl_m4_group_condition_rate",
|
| 452 |
+
"bindings": {
|
| 453 |
+
"group_col": "agent",
|
| 454 |
+
"condition_col": "babies",
|
| 455 |
+
"condition_value": "0",
|
| 456 |
+
"positive_value": "0",
|
| 457 |
+
"negative_value": "1",
|
| 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": 3.0,
|
| 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": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;"
|
| 480 |
+
}
|
| 481 |
+
|
| 482 |
+
Repair context:
|
| 483 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f9-9555-7ec1-8372-dba4d5e91dbe"}
|
| 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_00f9a0eebf4d7fc9/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f9-9555-7ec1-8372-dba4d5e91dbe"}
|
| 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_00f9a0eebf4d7fc9/cli/sql_response_attempt_2.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f9-a81f-7700-9b97-ab1315e7db00"}
|
| 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_00f9a0eebf4d7fc9/cli/sql_response_attempt_2.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40f9-a81f-7700-9b97-ab1315e7db00"}
|
| 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_00f9a0eebf4d7fc9/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_00f9a0eebf4d7fc9/cli/sql_stderr_attempt_2.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/final_answer.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=arrival_date_year, measure_col=lead_time.
|
| 2 |
+
Result preview: [{"arrival_date_year": "2015", "percentile_measure": 323.0}, {"arrival_date_year": "2017", "percentile_measure": 320.0}, {"arrival_date_year": "2016", "percentile_measure": 317.0}]
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/generated_sql.sql
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
-- sql_source_version: v2
|
| 2 |
+
-- sql_source_label: v2_current
|
| 3 |
+
-- sql_source_run_id: v2_cli_20260502_081223_c
|
| 4 |
+
-- sql_source_dataset_id: m12
|
| 5 |
+
-- family_id: tail_rarity_structure
|
| 6 |
+
-- canonical_subitem_id: tail_concentration_consistency
|
| 7 |
+
-- intended_facet_id: rare_target_concentration
|
| 8 |
+
-- variant_semantic_role: focused_target_view
|
| 9 |
+
-- template_id: tpl_grouped_percentile_point
|
| 10 |
+
-- query_record_id: v2q_m12_019d6b006b7de3e4
|
| 11 |
+
-- problem_id: v2p_m12_3441c9281f38766d
|
| 12 |
+
-- realization_mode: agent
|
| 13 |
+
-- source_kind: agent
|
| 14 |
+
WITH "ranked" AS (
|
| 15 |
+
SELECT
|
| 16 |
+
"arrival_date_year",
|
| 17 |
+
CAST("lead_time" AS REAL) AS "lead_time_value",
|
| 18 |
+
ROW_NUMBER() OVER (
|
| 19 |
+
PARTITION BY "arrival_date_year"
|
| 20 |
+
ORDER BY CAST("lead_time" AS REAL)
|
| 21 |
+
) AS "rn",
|
| 22 |
+
COUNT(*) OVER (PARTITION BY "arrival_date_year") AS "cnt"
|
| 23 |
+
FROM "m12"
|
| 24 |
+
WHERE "arrival_date_year" IS NOT NULL
|
| 25 |
+
AND TRIM("arrival_date_year") <> ''
|
| 26 |
+
AND "lead_time" IS NOT NULL
|
| 27 |
+
AND TRIM("lead_time") <> ''
|
| 28 |
+
),
|
| 29 |
+
"thresholded" AS (
|
| 30 |
+
SELECT
|
| 31 |
+
"arrival_date_year",
|
| 32 |
+
"lead_time_value",
|
| 33 |
+
"rn",
|
| 34 |
+
"cnt",
|
| 35 |
+
CAST(((95 * "cnt") + 99) / 100 AS INTEGER) AS "target_rn"
|
| 36 |
+
FROM "ranked"
|
| 37 |
+
)
|
| 38 |
+
SELECT
|
| 39 |
+
"arrival_date_year",
|
| 40 |
+
MIN("lead_time_value") AS "percentile_measure"
|
| 41 |
+
FROM "thresholded"
|
| 42 |
+
WHERE "rn" >= "target_rn"
|
| 43 |
+
GROUP BY "arrival_date_year"
|
| 44 |
+
ORDER BY "percentile_measure" DESC;
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/query_results.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"arrival_date_year\",\n CAST(\"lead_time\" AS REAL) AS \"lead_time_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"arrival_date_year\"\n ORDER BY CAST(\"lead_time\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"arrival_date_year\") AS \"cnt\"\n FROM \"m12\"\n WHERE \"arrival_date_year\" IS NOT NULL\n AND TRIM(\"arrival_date_year\") <> ''\n AND \"lead_time\" IS NOT NULL\n AND TRIM(\"lead_time\") <> ''\n),\n\"thresholded\" AS (\n SELECT\n \"arrival_date_year\",\n \"lead_time_value\",\n \"rn\",\n \"cnt\",\n CAST(((95 * \"cnt\") + 99) / 100 AS INTEGER) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"arrival_date_year\",\n MIN(\"lead_time_value\") AS \"percentile_measure\"\nFROM \"thresholded\"\nWHERE \"rn\" >= \"target_rn\"\nGROUP BY \"arrival_date_year\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"arrival_date_year\\\",\\n CAST(\\\"lead_time\\\" AS REAL) AS \\\"lead_time_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"arrival_date_year\\\"\\n ORDER BY CAST(\\\"lead_time\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"arrival_date_year\\\") AS \\\"cnt\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"arrival_date_year\\\" IS NOT NULL\\n AND TRIM(\\\"arrival_date_year\\\") <> ''\\n AND \\\"lead_time\\\" IS NOT NULL\\n AND TRIM(\\\"lead_time\\\") <> ''\\n),\\n\\\"thresholded\\\" AS (\\n SELECT\\n \\\"arrival_date_year\\\",\\n \\\"lead_time_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"arrival_date_year\\\",\\n MIN(\\\"lead_time_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"thresholded\\\"\\nWHERE \\\"rn\\\" >= \\\"target_rn\\\"\\nGROUP BY \\\"arrival_date_year\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"arrival_date_year\", \"percentile_measure\"], \"rows\": [{\"arrival_date_year\": \"2015\", \"percentile_measure\": 323.0}, {\"arrival_date_year\": \"2017\", \"percentile_measure\": 320.0}, {\"arrival_date_year\": \"2016\", \"percentile_measure\": 317.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 334.07}"}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/run_manifest.json
ADDED
|
@@ -0,0 +1,89 @@
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|
| 1 |
+
{
|
| 2 |
+
"run_id": "v2_cli_20260502_081223_c",
|
| 3 |
+
"dataset_id": "m12",
|
| 4 |
+
"started_at": "2026-05-19T15:52:54.542456+00:00",
|
| 5 |
+
"ended_at": "2026-05-19T15:53:14.764404+00:00",
|
| 6 |
+
"status": "completed",
|
| 7 |
+
"engine": "cli",
|
| 8 |
+
"question_record": {
|
| 9 |
+
"query_record_id": "v2q_m12_019d6b006b7de3e4",
|
| 10 |
+
"problem_id": "v2p_m12_3441c9281f38766d",
|
| 11 |
+
"dataset_id": "m12",
|
| 12 |
+
"template_id": "tpl_grouped_percentile_point",
|
| 13 |
+
"template_name": "Grouped Percentile Point",
|
| 14 |
+
"family_id": "tail_rarity_structure",
|
| 15 |
+
"canonical_subitem_id": "tail_concentration_consistency",
|
| 16 |
+
"intended_facet_id": "rare_target_concentration",
|
| 17 |
+
"variant_semantic_role": "focused_target_view",
|
| 18 |
+
"subitem_assignment_source": "planner_selected",
|
| 19 |
+
"source_kind": "agent",
|
| 20 |
+
"realization_mode": "agent",
|
| 21 |
+
"gate_priority": "primary",
|
| 22 |
+
"extended_family": false,
|
| 23 |
+
"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.",
|
| 24 |
+
"bindings": {
|
| 25 |
+
"group_col": "arrival_date_year",
|
| 26 |
+
"measure_col": "lead_time",
|
| 27 |
+
"top_k": 14,
|
| 28 |
+
"top_n": 3,
|
| 29 |
+
"num_tiles": 10,
|
| 30 |
+
"percentile_value": 0.95,
|
| 31 |
+
"z_threshold": 2.0,
|
| 32 |
+
"fraction_threshold": 0.1,
|
| 33 |
+
"baseline_multiplier": 1.5,
|
| 34 |
+
"baseline_fraction": 0.1,
|
| 35 |
+
"min_group_size": 5,
|
| 36 |
+
"min_support": 5,
|
| 37 |
+
"measure_threshold": 53.0,
|
| 38 |
+
"time_grain": "month",
|
| 39 |
+
"lookback_rows": 3,
|
| 40 |
+
"current_period_start": "'2024-01-01'",
|
| 41 |
+
"current_period_end": "'2024-04-01'",
|
| 42 |
+
"previous_period_start": "'2023-10-01'",
|
| 43 |
+
"previous_period_end": "'2024-01-01'",
|
| 44 |
+
"drift_ratio_threshold": 0.8
|
| 45 |
+
},
|
| 46 |
+
"binding_roles": [
|
| 47 |
+
"group_col",
|
| 48 |
+
"measure_col"
|
| 49 |
+
],
|
| 50 |
+
"coverage_target_min": "5",
|
| 51 |
+
"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;",
|
| 52 |
+
"notes": [
|
| 53 |
+
"default_facets=rare_target_concentration",
|
| 54 |
+
"template_selection_mode=rule",
|
| 55 |
+
"problem_index_within_template=1",
|
| 56 |
+
"sql_variant_index=1/2",
|
| 57 |
+
"binding_index=84"
|
| 58 |
+
],
|
| 59 |
+
"template_selection_mode": "rule",
|
| 60 |
+
"selected_template_rank": 8,
|
| 61 |
+
"problem_index_within_template": 1,
|
| 62 |
+
"sql_variant_index": 1,
|
| 63 |
+
"sql_variant_total": 2
|
| 64 |
+
},
|
| 65 |
+
"mode": "subitem_workload_v2",
|
| 66 |
+
"sql_source_version": "v2",
|
| 67 |
+
"sql_source_label": "v2_current",
|
| 68 |
+
"generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/sql/v2q_m12_019d6b006b7de3e4.sql",
|
| 69 |
+
"usage_summary": {
|
| 70 |
+
"dataset_id": "m12",
|
| 71 |
+
"model": "v2-cli:codex",
|
| 72 |
+
"run_id": "v2q_m12_019d6b006b7de3e4",
|
| 73 |
+
"api_calls": 0,
|
| 74 |
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"input_tokens": 16695,
|
| 75 |
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"cached_input_tokens": 15744,
|
| 76 |
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"output_tokens": 863,
|
| 77 |
+
"total_tokens": 17558,
|
| 78 |
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"cost_usd": 0.0,
|
| 79 |
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"ai_cli_calls": 2,
|
| 80 |
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"estimated_input_tokens": 0,
|
| 81 |
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"estimated_output_tokens": 0,
|
| 82 |
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"estimated_total_tokens": 0,
|
| 83 |
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"usage_source": "ai_cli_json_usage",
|
| 84 |
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"cli_elapsed_ms_total": 18874.02,
|
| 85 |
+
"sql_execution_elapsed_ms_total": 334.07,
|
| 86 |
+
"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",
|
| 87 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 88 |
+
}
|
| 89 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/trace.jsonl
ADDED
|
@@ -0,0 +1,2 @@
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| 1 |
+
{"timestamp": "2026-05-19T15:52:57.984574+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3432.99, "started_at": "2026-05-19T15:52:54.550844+00:00", "ended_at": "2026-05-19T15:52:57.983861+00:00", "prompt_metrics": {"chars": 17087, "bytes_utf8": 17087, "lines": 480, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f0-ab17-7fd2-8f4b-b051c87bd344\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "}
|
| 2 |
+
{"timestamp": "2026-05-19T15:53:14.428764+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15441.03, "started_at": "2026-05-19T15:52:58.986281+00:00", "ended_at": "2026-05-19T15:53:14.427359+00:00", "prompt_metrics": {"chars": 17087, "bytes_utf8": 17087, "lines": 480, "estimated_tokens": null}, "response_metrics": {"chars": 1203, "bytes_utf8": 1203, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16695, "cached_input_tokens": 15744, "output_tokens": 863, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"arrival_date_year\\\",\\n CAST(\\\"lead_time\\\" AS REAL) AS \\\"lead_time_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"arrival_date_year\\\"\\n ORDER BY CAST(\\\"lead_time\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"arrival_date_year\\\") AS \\\"cnt\\\"\\n FROM \\\"m12\\\"\\n WHERE \\\"arrival_date_year\\\" IS NOT NULL\\n AND TRIM(\\\"arrival_date_year\\\") <> ''\\n AND \\\"lead_time\\\" IS NOT NULL\\n AND TRIM(\\\"lead_time\\\") <> ''\\n),\\n\\\"thresholded\\\" AS (\\n SELECT\\n \\\"arrival_date_year\\\",\\n \\\"lead_time_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n CAST(((95 * \\\"cnt\\\") + 99) / 100 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"arrival_date_year\\\",\\n MIN(\\\"lead_time_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"thresholded\\\"\\nWHERE \\\"rn\\\" >= \\\"target_rn\\\"\\nGROUP BY \\\"arrival_date_year\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE"}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_019d6b006b7de3e4/usage_summary.json
ADDED
|
@@ -0,0 +1,20 @@
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|
| 1 |
+
{
|
| 2 |
+
"dataset_id": "m12",
|
| 3 |
+
"model": "v2-cli:codex",
|
| 4 |
+
"run_id": "v2q_m12_019d6b006b7de3e4",
|
| 5 |
+
"api_calls": 0,
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
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|
| 14 |
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|
| 15 |
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"usage_source": "ai_cli_json_usage",
|
| 16 |
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|
| 17 |
+
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|
| 18 |
+
"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",
|
| 19 |
+
"note": "Executed through a local AI CLI with structured usage metadata."
|
| 20 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/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": 17354, "bytes_utf8": 17354, "lines": 482, "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": 687, "bytes_utf8": 687, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 16781, "cached_input_tokens": 15744, "output_tokens": 934, "reasoning_output_tokens": 759}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/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": 1,
|
| 5 |
+
"usage_summary": {
|
| 6 |
+
"dataset_id": "m12",
|
| 7 |
+
"model": "v2-cli:codex",
|
| 8 |
+
"run_id": "v2q_m12_041eea874a44681c",
|
| 9 |
+
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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"ai_cli_calls": 1,
|
| 16 |
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|
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|
| 18 |
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|
| 19 |
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"usage_source": "ai_cli_json_usage",
|
| 20 |
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"cli_elapsed_ms_total": 18662.32,
|
| 21 |
+
"sql_execution_elapsed_ms_total": 112.16,
|
| 22 |
+
"conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/conversation.jsonl",
|
| 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_041eea874a44681c/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,45 @@
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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": "2026-05-19T15:38:15.943124+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T15:38:34.605479+00:00",
|
| 7 |
+
"elapsed_ms": 18662.32,
|
| 8 |
+
"prompt_metrics": {
|
| 9 |
+
"chars": 17354,
|
| 10 |
+
"bytes_utf8": 17354,
|
| 11 |
+
"lines": 482,
|
| 12 |
+
"estimated_tokens": null
|
| 13 |
+
},
|
| 14 |
+
"stdout_metrics": {
|
| 15 |
+
"chars": 1067,
|
| 16 |
+
"bytes_utf8": 1067,
|
| 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": 687,
|
| 30 |
+
"bytes_utf8": 687,
|
| 31 |
+
"lines": 1,
|
| 32 |
+
"estimated_tokens": null
|
| 33 |
+
},
|
| 34 |
+
"usage": {
|
| 35 |
+
"input_tokens": 16781,
|
| 36 |
+
"cached_input_tokens": 15744,
|
| 37 |
+
"output_tokens": 934,
|
| 38 |
+
"reasoning_output_tokens": 759
|
| 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_041eea874a44681c/cli/sql_prompt_attempt_1.txt
ADDED
|
@@ -0,0 +1,482 @@
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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_tpcds_within_group_share",
|
| 436 |
+
"template_name": "Within-Group Share of Total",
|
| 437 |
+
"primary_family": "conditional_dependency_structure",
|
| 438 |
+
"portability": "partial",
|
| 439 |
+
"sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;",
|
| 440 |
+
"required_roles": [
|
| 441 |
+
"group_col",
|
| 442 |
+
"item_col",
|
| 443 |
+
"measure_col"
|
| 444 |
+
]
|
| 445 |
+
}
|
| 446 |
+
]
|
| 447 |
+
|
| 448 |
+
Problem instance:
|
| 449 |
+
{
|
| 450 |
+
"dataset_id": "m12",
|
| 451 |
+
"question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=arrival_date_month, measure_col=arrival_date_day_of_month.",
|
| 452 |
+
"planned_template_id": "tpl_tpcds_within_group_share",
|
| 453 |
+
"bindings": {
|
| 454 |
+
"group_col": "arrival_date_month",
|
| 455 |
+
"measure_col": "arrival_date_day_of_month",
|
| 456 |
+
"item_col": "company",
|
| 457 |
+
"top_k": 16,
|
| 458 |
+
"top_n": 7,
|
| 459 |
+
"num_tiles": 10,
|
| 460 |
+
"percentile_value": 0.95,
|
| 461 |
+
"z_threshold": 2.0,
|
| 462 |
+
"fraction_threshold": 0.05,
|
| 463 |
+
"baseline_multiplier": 1.75,
|
| 464 |
+
"baseline_fraction": 0.1,
|
| 465 |
+
"min_group_size": 5,
|
| 466 |
+
"min_support": 4,
|
| 467 |
+
"measure_threshold": 13.64,
|
| 468 |
+
"time_grain": "month",
|
| 469 |
+
"lookback_rows": 3,
|
| 470 |
+
"current_period_start": "'2024-01-01'",
|
| 471 |
+
"current_period_end": "'2024-04-01'",
|
| 472 |
+
"previous_period_start": "'2023-10-01'",
|
| 473 |
+
"previous_period_end": "'2024-01-01'",
|
| 474 |
+
"drift_ratio_threshold": 0.8
|
| 475 |
+
},
|
| 476 |
+
"can_vary": [],
|
| 477 |
+
"must_fix": [],
|
| 478 |
+
"runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;"
|
| 479 |
+
}
|
| 480 |
+
|
| 481 |
+
Repair context:
|
| 482 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40e3-4329-7050-9522-53093a6a468c"}
|
| 2 |
+
{"type":"turn.started"}
|
| 3 |
+
{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"arrival_date_month\\\", \\\"company\\\",\\n SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) AS total_measure,\\n SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"arrival_date_day_of_month\\\" AS INTEGER))) OVER (PARTITION BY \\\"arrival_date_month\\\") AS share_within_group\\nFROM \\\"m12\\\"\\nGROUP BY \\\"arrival_date_month\\\", \\\"company\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"arrival_date_month\\\", item_col=\\\"company\\\", and measure_col=\\\"arrival_date_day_of_month\\\". The measure is cast to INTEGER because the schema stores it as TEXT in SQLite.\"}"}}
|
| 4 |
+
{"type":"turn.completed","usage":{"input_tokens":16781,"cached_input_tokens":15744,"output_tokens":934,"reasoning_output_tokens":759}}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"arrival_date_month\", \"company\",\n SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER)) AS total_measure,\n SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"arrival_date_day_of_month\" AS INTEGER))) OVER (PARTITION BY \"arrival_date_month\") AS share_within_group\nFROM \"m12\"\nGROUP BY \"arrival_date_month\", \"company\"\nORDER BY share_within_group DESC;","notes":"Uses the planned template with group_col=\"arrival_date_month\", item_col=\"company\", and measure_col=\"arrival_date_day_of_month\". The measure is cast to INTEGER because the schema stores it as TEXT in SQLite."}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_041eea874a44681c/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/final_answer.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"row_count": null, "preview_rows": [{"value_label": "Online TA", "support": 56477, "support_share": 0.47304631878716813, "cumulative_support": 56477}, {"value_label": "Offline TA/TO", "support": 24219, "support_share": 0.20285618561018512, "cumulative_support": 80696}, {"value_label": "Groups", "support": 19811, "support_share": 0.16593517044978642, "cumulative_support": 100507}, {"value_label": "Direct", "support": 12606, "support_share": 0.1055867325571656, "cumulative_support": 113113}, {"value_label": "Corporate", "support": 5295, "support_share": 0.044350448111232094, "cumulative_support": 118408}]}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/generated_sql.sql
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
-- sql_source_version: v2
|
| 2 |
+
-- sql_source_label: v2_current
|
| 3 |
+
-- sql_source_run_id: v2_cli_20260502_081223_c
|
| 4 |
+
-- sql_source_dataset_id: m12
|
| 5 |
+
-- family_id: cardinality_structure
|
| 6 |
+
-- canonical_subitem_id: support_rank_profile_consistency
|
| 7 |
+
-- intended_facet_id: support_concentration
|
| 8 |
+
-- variant_semantic_role: ranked_signal_view
|
| 9 |
+
-- template_id: tpl_cardinality_distinct_share_profile
|
| 10 |
+
-- query_record_id: v2q_m12_051e520807e17830
|
| 11 |
+
-- problem_id: v2p_m12_59d269f932e39416
|
| 12 |
+
-- realization_mode: deterministic
|
| 13 |
+
-- source_kind: deterministic
|
| 14 |
+
WITH grouped AS (
|
| 15 |
+
SELECT "market_segment" AS value_label, COUNT(*) AS support
|
| 16 |
+
FROM "m12"
|
| 17 |
+
GROUP BY "market_segment"
|
| 18 |
+
), ranked AS (
|
| 19 |
+
SELECT
|
| 20 |
+
value_label,
|
| 21 |
+
support,
|
| 22 |
+
CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,
|
| 23 |
+
SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support
|
| 24 |
+
FROM grouped
|
| 25 |
+
)
|
| 26 |
+
SELECT *
|
| 27 |
+
FROM ranked
|
| 28 |
+
ORDER BY support DESC, value_label;
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/query_results.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_c\n-- sql_source_dataset_id: m12\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m12_051e520807e17830\n-- problem_id: v2p_m12_59d269f932e39416\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"market_segment\" AS value_label, COUNT(*) AS support\n FROM \"m12\"\n GROUP BY \"market_segment\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_c\\n-- sql_source_dataset_id: m12\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m12_051e520807e17830\\n-- problem_id: v2p_m12_59d269f932e39416\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"market_segment\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m12\\\"\\n GROUP BY \\\"market_segment\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"Online TA\", \"support\": 56477, \"support_share\": 0.47304631878716813, \"cumulative_support\": 56477}, {\"value_label\": \"Offline TA/TO\", \"support\": 24219, \"support_share\": 0.20285618561018512, \"cumulative_support\": 80696}, {\"value_label\": \"Groups\", \"support\": 19811, \"support_share\": 0.16593517044978642, \"cumulative_support\": 100507}, {\"value_label\": \"Direct\", \"support\": 12606, \"support_share\": 0.1055867325571656, \"cumulative_support\": 113113}, {\"value_label\": \"Corporate\", \"support\": 5295, \"support_share\": 0.044350448111232094, \"cumulative_support\": 118408}, {\"value_label\": \"Complementary\", \"support\": 743, \"support_share\": 0.006223301784069018, \"cumulative_support\": 119151}, {\"value_label\": \"Aviation\", \"support\": 237, \"support_share\": 0.0019850908786330514, \"cumulative_support\": 119388}, {\"value_label\": \"Undefined\", \"support\": 2, \"support_share\": 1.6751821760616466e-05, \"cumulative_support\": 119390}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 51.05}"}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/run_manifest.json
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"run_id": "v2_cli_20260502_081223_c",
|
| 3 |
+
"dataset_id": "m12",
|
| 4 |
+
"started_at": "2026-05-19T16:10:25.151866+00:00",
|
| 5 |
+
"ended_at": "2026-05-19T16:10:25.204064+00:00",
|
| 6 |
+
"status": "completed",
|
| 7 |
+
"engine": "cli",
|
| 8 |
+
"question_record": {
|
| 9 |
+
"query_record_id": "v2q_m12_051e520807e17830",
|
| 10 |
+
"problem_id": "v2p_m12_59d269f932e39416",
|
| 11 |
+
"dataset_id": "m12",
|
| 12 |
+
"template_id": "tpl_cardinality_distinct_share_profile",
|
| 13 |
+
"template_name": "Cardinality Distinct Share Profile",
|
| 14 |
+
"family_id": "cardinality_structure",
|
| 15 |
+
"canonical_subitem_id": "support_rank_profile_consistency",
|
| 16 |
+
"intended_facet_id": "support_concentration",
|
| 17 |
+
"variant_semantic_role": "ranked_signal_view",
|
| 18 |
+
"subitem_assignment_source": "template_fixed",
|
| 19 |
+
"source_kind": "deterministic",
|
| 20 |
+
"realization_mode": "deterministic",
|
| 21 |
+
"gate_priority": "deterministic",
|
| 22 |
+
"extended_family": true,
|
| 23 |
+
"question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=market_segment.",
|
| 24 |
+
"bindings": {
|
| 25 |
+
"group_col": "market_segment"
|
| 26 |
+
},
|
| 27 |
+
"binding_roles": [
|
| 28 |
+
"group_col"
|
| 29 |
+
],
|
| 30 |
+
"coverage_target_min": "enumerate_all_applicable",
|
| 31 |
+
"runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;",
|
| 32 |
+
"notes": [
|
| 33 |
+
"default_facets=support_concentration,value_imbalance_profile",
|
| 34 |
+
"template_selection_mode=deterministic",
|
| 35 |
+
"problem_index_within_template=7",
|
| 36 |
+
"sql_variant_index=1/1"
|
| 37 |
+
],
|
| 38 |
+
"template_selection_mode": "deterministic",
|
| 39 |
+
"selected_template_rank": 0,
|
| 40 |
+
"problem_index_within_template": 7,
|
| 41 |
+
"sql_variant_index": 1,
|
| 42 |
+
"sql_variant_total": 1
|
| 43 |
+
},
|
| 44 |
+
"mode": "subitem_workload_v2",
|
| 45 |
+
"sql_source_version": "v2",
|
| 46 |
+
"sql_source_label": "v2_current",
|
| 47 |
+
"generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/m12/sql/v2q_m12_051e520807e17830.sql",
|
| 48 |
+
"usage_summary": {
|
| 49 |
+
"engine": "template",
|
| 50 |
+
"input_tokens": 0,
|
| 51 |
+
"cached_input_tokens": 0,
|
| 52 |
+
"output_tokens": 0,
|
| 53 |
+
"total_tokens": 0,
|
| 54 |
+
"estimated_total_tokens": 0,
|
| 55 |
+
"usage_source": "none"
|
| 56 |
+
}
|
| 57 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_051e520807e17830/usage_summary.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"engine": "template",
|
| 3 |
+
"input_tokens": 0,
|
| 4 |
+
"cached_input_tokens": 0,
|
| 5 |
+
"output_tokens": 0,
|
| 6 |
+
"total_tokens": 0,
|
| 7 |
+
"estimated_total_tokens": 0,
|
| 8 |
+
"usage_source": "none"
|
| 9 |
+
}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "2026-05-19T16:09:27.330446+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:09:30.235402+00:00",
|
| 7 |
+
"elapsed_ms": 2904.93,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 17001,
|
| 11 |
+
"bytes_utf8": 17001,
|
| 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_05ec60a8d0f21f0f/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": "2026-05-19T16:09:31.238659+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:09:35.713111+00:00",
|
| 7 |
+
"elapsed_ms": 4474.41,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 17001,
|
| 11 |
+
"bytes_utf8": 17001,
|
| 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_05ec60a8d0f21f0f/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_m4_window_partition_avg",
|
| 436 |
+
"template_name": "Window Partition Average",
|
| 437 |
+
"primary_family": "conditional_dependency_structure",
|
| 438 |
+
"portability": "partial",
|
| 439 |
+
"sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
|
| 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 Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=lead_time, measure_col=days_in_waiting_list.",
|
| 451 |
+
"planned_template_id": "tpl_m4_window_partition_avg",
|
| 452 |
+
"bindings": {
|
| 453 |
+
"group_col": "lead_time",
|
| 454 |
+
"measure_col": "days_in_waiting_list",
|
| 455 |
+
"top_k": 17,
|
| 456 |
+
"top_n": 5,
|
| 457 |
+
"num_tiles": 10,
|
| 458 |
+
"percentile_value": 0.95,
|
| 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": 78.68,
|
| 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 DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
|
| 477 |
+
}
|
| 478 |
+
|
| 479 |
+
Repair context:
|
| 480 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_prompt_attempt_2.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_m4_window_partition_avg",
|
| 436 |
+
"template_name": "Window Partition Average",
|
| 437 |
+
"primary_family": "conditional_dependency_structure",
|
| 438 |
+
"portability": "partial",
|
| 439 |
+
"sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;",
|
| 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 Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=lead_time, measure_col=days_in_waiting_list.",
|
| 451 |
+
"planned_template_id": "tpl_m4_window_partition_avg",
|
| 452 |
+
"bindings": {
|
| 453 |
+
"group_col": "lead_time",
|
| 454 |
+
"measure_col": "days_in_waiting_list",
|
| 455 |
+
"top_k": 17,
|
| 456 |
+
"top_n": 5,
|
| 457 |
+
"num_tiles": 10,
|
| 458 |
+
"percentile_value": 0.95,
|
| 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": 78.68,
|
| 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 DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;"
|
| 477 |
+
}
|
| 478 |
+
|
| 479 |
+
Repair context:
|
| 480 |
+
{}
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40ff-d12e-78c0-a79e-2da05919fa60"}
|
| 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_05ec60a8d0f21f0f/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40ff-d12e-78c0-a79e-2da05919fa60"}
|
| 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_05ec60a8d0f21f0f/cli/sql_response_attempt_2.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40ff-e067-76f0-b447-29660f9cc8bc"}
|
| 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_05ec60a8d0f21f0f/cli/sql_response_attempt_2.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40ff-e067-76f0-b447-29660f9cc8bc"}
|
| 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_05ec60a8d0f21f0f/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_05ec60a8d0f21f0f/cli/sql_stderr_attempt_2.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_attempt_1.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "2026-05-19T16:07:53.629116+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:07:56.912941+00:00",
|
| 7 |
+
"elapsed_ms": 3283.8,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 16895,
|
| 11 |
+
"bytes_utf8": 16895,
|
| 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_067bcd415287d614/cli/sql_attempt_2.metadata.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "2026-05-19T16:07:57.915599+00:00",
|
| 6 |
+
"ended_at": "2026-05-19T16:08:00.731781+00:00",
|
| 7 |
+
"elapsed_ms": 2816.14,
|
| 8 |
+
"returncode": 1,
|
| 9 |
+
"prompt_metrics": {
|
| 10 |
+
"chars": 16895,
|
| 11 |
+
"bytes_utf8": 16895,
|
| 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_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_067bcd415287d614/cli/sql_prompt_attempt_1.txt
ADDED
|
@@ -0,0 +1,478 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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_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_mass_similarity with semantic role rare_extreme_view. Focus on group_col=booking_changes.",
|
| 450 |
+
"planned_template_id": "tpl_tail_low_support_group_count_v2",
|
| 451 |
+
"bindings": {
|
| 452 |
+
"group_col": "booking_changes",
|
| 453 |
+
"top_k": 17,
|
| 454 |
+
"top_n": 7,
|
| 455 |
+
"num_tiles": 10,
|
| 456 |
+
"percentile_value": 0.95,
|
| 457 |
+
"z_threshold": 2.0,
|
| 458 |
+
"fraction_threshold": 0.05,
|
| 459 |
+
"baseline_multiplier": 1.75,
|
| 460 |
+
"baseline_fraction": 0.1,
|
| 461 |
+
"min_group_size": 5,
|
| 462 |
+
"min_support": 4,
|
| 463 |
+
"measure_threshold": 2016.5,
|
| 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_067bcd415287d614/cli/sql_prompt_attempt_2.txt
ADDED
|
@@ -0,0 +1,478 @@
|
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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_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_mass_similarity with semantic role rare_extreme_view. Focus on group_col=booking_changes.",
|
| 450 |
+
"planned_template_id": "tpl_tail_low_support_group_count_v2",
|
| 451 |
+
"bindings": {
|
| 452 |
+
"group_col": "booking_changes",
|
| 453 |
+
"top_k": 17,
|
| 454 |
+
"top_n": 7,
|
| 455 |
+
"num_tiles": 10,
|
| 456 |
+
"percentile_value": 0.95,
|
| 457 |
+
"z_threshold": 2.0,
|
| 458 |
+
"fraction_threshold": 0.05,
|
| 459 |
+
"baseline_multiplier": 1.75,
|
| 460 |
+
"baseline_fraction": 0.1,
|
| 461 |
+
"min_group_size": 5,
|
| 462 |
+
"min_support": 4,
|
| 463 |
+
"measure_threshold": 2016.5,
|
| 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_067bcd415287d614/cli/sql_response_attempt_1.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40fe-6317-78e0-af71-03ecb78af2a3"}
|
| 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_067bcd415287d614/cli/sql_response_attempt_1.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40fe-6317-78e0-af71-03ecb78af2a3"}
|
| 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_067bcd415287d614/cli/sql_response_attempt_2.raw.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40fe-73fe-7020-9795-413dc6682eba"}
|
| 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_067bcd415287d614/cli/sql_response_attempt_2.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"type":"thread.started","thread_id":"019e40fe-73fe-7020-9795-413dc6682eba"}
|
| 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_067bcd415287d614/cli/sql_stderr_attempt_1.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_067bcd415287d614/cli/sql_stderr_attempt_2.txt
ADDED
|
File without changes
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/final_answer.txt
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=is_repeated_guest, condition_col=hotel.
|
| 2 |
+
Result preview: [{"is_repeated_guest": "0", "condition_ratio": 2.0191735019069013}, {"is_repeated_guest": "1", "condition_ratio": 1.1428571428571428}]
|
Query/sql/v2/runs/v2_cli_20260502_081223_c/m12/artifacts/v2q_m12_0abdd7583ba915ec/generated_sql.sql
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
-- sql_source_version: v2
|
| 2 |
+
-- sql_source_label: v2_current
|
| 3 |
+
-- sql_source_run_id: v2_cli_20260502_081223_c
|
| 4 |
+
-- sql_source_dataset_id: m12
|
| 5 |
+
-- family_id: conditional_dependency_structure
|
| 6 |
+
-- canonical_subitem_id: direction_consistency
|
| 7 |
+
-- intended_facet_id: conditional_rate_shift
|
| 8 |
+
-- variant_semantic_role: contrastive_conditional_view
|
| 9 |
+
-- template_id: tpl_m4_group_ratio_two_conditions
|
| 10 |
+
-- query_record_id: v2q_m12_0abdd7583ba915ec
|
| 11 |
+
-- problem_id: v2p_m12_98e09b0f1ac847b4
|
| 12 |
+
-- realization_mode: agent
|
| 13 |
+
-- source_kind: agent
|
| 14 |
+
WITH grouped AS (
|
| 15 |
+
SELECT "is_repeated_guest",
|
| 16 |
+
SUM(CASE WHEN "hotel" = 'City Hotel' THEN 1 ELSE 0 END) AS numerator_count,
|
| 17 |
+
SUM(CASE WHEN "hotel" = 'Resort Hotel' THEN 1 ELSE 0 END) AS denominator_count
|
| 18 |
+
FROM "m12"
|
| 19 |
+
GROUP BY "is_repeated_guest"
|
| 20 |
+
)
|
| 21 |
+
SELECT "is_repeated_guest",
|
| 22 |
+
CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio
|
| 23 |
+
FROM grouped
|
| 24 |
+
ORDER BY condition_ratio DESC;
|