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Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/conversation.jsonl ADDED
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Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/session_summary.json ADDED
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+ {
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+ "engine": "v2-cli:codex",
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+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
4
+ "ai_cli_calls": 1,
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+ "usage_summary": {
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+ "dataset_id": "m6",
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+ "model": "v2-cli:codex",
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+ "run_id": "v2q_m6_b3c867ac08573299",
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+ "api_calls": 0,
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+ "cli_elapsed_ms_total": 11759.4,
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+ "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/conversation.jsonl",
23
+ "note": "Executed through a local AI CLI with structured usage metadata."
24
+ }
25
+ }
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+ }
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_prompt_attempt_1.txt ADDED
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1
+ You are generating one SQLite SELECT query for a single-table SQL QA task.
2
+ Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}.
3
+ Rules:
4
+ - Use only the provided table and columns.
5
+ - Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM.
6
+ - Prefer the planned template and bound roles when provided.
7
+ - Add a leading SQL comment exactly like: -- template_id: <planned_template_id>.
8
+ - Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV.
9
+ - Quote identifiers with double quotes.
10
+ - Return no markdown and no extra prose.
11
+
12
+ Dataset context:
13
+ Dataset context for SQL QA:
14
+ - dataset_id: m6
15
+ - dataset_name: Online Shoppers Purchasing Intention Dataset
16
+ - table_name: m6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
19
+ - task_type: classification
20
+ - target_column: VisitorType
21
+ - main_row_count: 12330
22
+ - important_fields:
23
+ - Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
24
+ - Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
25
+ - Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
26
+ - Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
27
+ - ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
28
+ - ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
29
+ - BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
30
+ - ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
31
+ - PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
32
+ - SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
33
+ - Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
34
+ - OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
35
+ - Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
36
+ - Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
37
+ - TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
38
+ - VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
39
+ - Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
40
+ - Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
41
+ - useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
42
+ - fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
43
+ - source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
44
+
45
+ SQLite schema snapshot:
46
+ {
47
+ "table_name": "m6",
48
+ "quoted_table_name": "\"m6\"",
49
+ "row_count": 12330,
50
+ "columns": [
51
+ {
52
+ "name": "Administrative",
53
+ "type": "TEXT",
54
+ "notnull": false,
55
+ "pk": false
56
+ },
57
+ {
58
+ "name": "Administrative_Duration",
59
+ "type": "TEXT",
60
+ "notnull": false,
61
+ "pk": false
62
+ },
63
+ {
64
+ "name": "Informational",
65
+ "type": "TEXT",
66
+ "notnull": false,
67
+ "pk": false
68
+ },
69
+ {
70
+ "name": "Informational_Duration",
71
+ "type": "TEXT",
72
+ "notnull": false,
73
+ "pk": false
74
+ },
75
+ {
76
+ "name": "ProductRelated",
77
+ "type": "TEXT",
78
+ "notnull": false,
79
+ "pk": false
80
+ },
81
+ {
82
+ "name": "ProductRelated_Duration",
83
+ "type": "TEXT",
84
+ "notnull": false,
85
+ "pk": false
86
+ },
87
+ {
88
+ "name": "BounceRates",
89
+ "type": "TEXT",
90
+ "notnull": false,
91
+ "pk": false
92
+ },
93
+ {
94
+ "name": "ExitRates",
95
+ "type": "TEXT",
96
+ "notnull": false,
97
+ "pk": false
98
+ },
99
+ {
100
+ "name": "PageValues",
101
+ "type": "TEXT",
102
+ "notnull": false,
103
+ "pk": false
104
+ },
105
+ {
106
+ "name": "SpecialDay",
107
+ "type": "TEXT",
108
+ "notnull": false,
109
+ "pk": false
110
+ },
111
+ {
112
+ "name": "Month",
113
+ "type": "TEXT",
114
+ "notnull": false,
115
+ "pk": false
116
+ },
117
+ {
118
+ "name": "OperatingSystems",
119
+ "type": "TEXT",
120
+ "notnull": false,
121
+ "pk": false
122
+ },
123
+ {
124
+ "name": "Browser",
125
+ "type": "TEXT",
126
+ "notnull": false,
127
+ "pk": false
128
+ },
129
+ {
130
+ "name": "Region",
131
+ "type": "TEXT",
132
+ "notnull": false,
133
+ "pk": false
134
+ },
135
+ {
136
+ "name": "TrafficType",
137
+ "type": "TEXT",
138
+ "notnull": false,
139
+ "pk": false
140
+ },
141
+ {
142
+ "name": "VisitorType",
143
+ "type": "TEXT",
144
+ "notnull": false,
145
+ "pk": false
146
+ },
147
+ {
148
+ "name": "Weekend",
149
+ "type": "TEXT",
150
+ "notnull": false,
151
+ "pk": false
152
+ },
153
+ {
154
+ "name": "Revenue",
155
+ "type": "TEXT",
156
+ "notnull": false,
157
+ "pk": false
158
+ }
159
+ ],
160
+ "sample_rows": [
161
+ {
162
+ "Administrative": "0",
163
+ "Administrative_Duration": "0",
164
+ "Informational": "0",
165
+ "Informational_Duration": "0",
166
+ "ProductRelated": "1",
167
+ "ProductRelated_Duration": "0",
168
+ "BounceRates": "0.2",
169
+ "ExitRates": "0.2",
170
+ "PageValues": "0",
171
+ "SpecialDay": "0",
172
+ "Month": "Feb",
173
+ "OperatingSystems": "1",
174
+ "Browser": "1",
175
+ "Region": "1",
176
+ "TrafficType": "1",
177
+ "VisitorType": "Returning_Visitor",
178
+ "Weekend": "FALSE",
179
+ "Revenue": "FALSE"
180
+ },
181
+ {
182
+ "Administrative": "0",
183
+ "Administrative_Duration": "0",
184
+ "Informational": "0",
185
+ "Informational_Duration": "0",
186
+ "ProductRelated": "2",
187
+ "ProductRelated_Duration": "64",
188
+ "BounceRates": "0",
189
+ "ExitRates": "0.1",
190
+ "PageValues": "0",
191
+ "SpecialDay": "0",
192
+ "Month": "Feb",
193
+ "OperatingSystems": "2",
194
+ "Browser": "2",
195
+ "Region": "1",
196
+ "TrafficType": "2",
197
+ "VisitorType": "Returning_Visitor",
198
+ "Weekend": "FALSE",
199
+ "Revenue": "FALSE"
200
+ },
201
+ {
202
+ "Administrative": "0",
203
+ "Administrative_Duration": "0",
204
+ "Informational": "0",
205
+ "Informational_Duration": "0",
206
+ "ProductRelated": "1",
207
+ "ProductRelated_Duration": "0",
208
+ "BounceRates": "0.2",
209
+ "ExitRates": "0.2",
210
+ "PageValues": "0",
211
+ "SpecialDay": "0",
212
+ "Month": "Feb",
213
+ "OperatingSystems": "4",
214
+ "Browser": "1",
215
+ "Region": "9",
216
+ "TrafficType": "3",
217
+ "VisitorType": "Returning_Visitor",
218
+ "Weekend": "FALSE",
219
+ "Revenue": "FALSE"
220
+ },
221
+ {
222
+ "Administrative": "0",
223
+ "Administrative_Duration": "0",
224
+ "Informational": "0",
225
+ "Informational_Duration": "0",
226
+ "ProductRelated": "2",
227
+ "ProductRelated_Duration": "2.666666667",
228
+ "BounceRates": "0.05",
229
+ "ExitRates": "0.14",
230
+ "PageValues": "0",
231
+ "SpecialDay": "0",
232
+ "Month": "Feb",
233
+ "OperatingSystems": "3",
234
+ "Browser": "2",
235
+ "Region": "2",
236
+ "TrafficType": "4",
237
+ "VisitorType": "Returning_Visitor",
238
+ "Weekend": "FALSE",
239
+ "Revenue": "FALSE"
240
+ },
241
+ {
242
+ "Administrative": "0",
243
+ "Administrative_Duration": "0",
244
+ "Informational": "0",
245
+ "Informational_Duration": "0",
246
+ "ProductRelated": "10",
247
+ "ProductRelated_Duration": "627.5",
248
+ "BounceRates": "0.02",
249
+ "ExitRates": "0.05",
250
+ "PageValues": "0",
251
+ "SpecialDay": "0",
252
+ "Month": "Feb",
253
+ "OperatingSystems": "3",
254
+ "Browser": "3",
255
+ "Region": "1",
256
+ "TrafficType": "4",
257
+ "VisitorType": "Returning_Visitor",
258
+ "Weekend": "TRUE",
259
+ "Revenue": "FALSE"
260
+ }
261
+ ]
262
+ }
263
+
264
+ Shortlisted templates:
265
+ [
266
+ {
267
+ "template_id": "tpl_m4_quantile_tail_slice",
268
+ "template_name": "Quantile Tail Slice",
269
+ "primary_family": "tail_rarity_structure",
270
+ "portability": "partial",
271
+ "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;",
272
+ "required_roles": [
273
+ "measure_col"
274
+ ]
275
+ }
276
+ ]
277
+
278
+ Problem instance:
279
+ {
280
+ "dataset_id": "m6",
281
+ "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=Region.",
282
+ "planned_template_id": "tpl_m4_quantile_tail_slice",
283
+ "bindings": {
284
+ "measure_col": "Region",
285
+ "top_k": 13,
286
+ "top_n": 3,
287
+ "num_tiles": 10,
288
+ "percentile_value": 0.95,
289
+ "z_threshold": 2.0,
290
+ "fraction_threshold": 0.1,
291
+ "baseline_multiplier": 1.5,
292
+ "baseline_fraction": 0.1,
293
+ "min_group_size": 5,
294
+ "min_support": 5,
295
+ "measure_threshold": 4.0,
296
+ "time_grain": "month",
297
+ "lookback_rows": 3,
298
+ "current_period_start": "'2024-01-01'",
299
+ "current_period_end": "'2024-04-01'",
300
+ "previous_period_start": "'2023-10-01'",
301
+ "previous_period_end": "'2024-01-01'",
302
+ "drift_ratio_threshold": 0.8
303
+ },
304
+ "can_vary": [],
305
+ "must_fix": [],
306
+ "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;"
307
+ }
308
+
309
+ Repair context:
310
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_response_attempt_1.raw.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
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2
+ {"type":"turn.started"}
3
+ {"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"Region\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"Region\\\" AS INTEGER) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m6\\\"\\n WHERE \\\"Region\\\" IS NOT NULL\\n)\\nSELECT \\\"Region\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"Region\\\" AS INTEGER) DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to \\\"Region\\\" and num_tiles=10. Cast \\\"Region\\\" to INTEGER for tail ordering because the SQLite schema stores it as TEXT.\"}"}}
4
+ {"type":"turn.completed","usage":{"input_tokens":14988,"cached_input_tokens":12032,"output_tokens":519,"reasoning_output_tokens":364}}
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_response_attempt_1.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ {"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"Region\",\n NTILE(10) OVER (ORDER BY CAST(\"Region\" AS INTEGER) DESC) AS \"tail_bucket\"\n FROM \"m6\"\n WHERE \"Region\" IS NOT NULL\n)\nSELECT \"Region\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"Region\" AS INTEGER) DESC;","notes":"Used the requested Quantile Tail Slice template with measure_col bound to \"Region\" and num_tiles=10. Cast \"Region\" to INTEGER for tail ordering because the SQLite schema stores it as TEXT."}
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_b3c867ac08573299/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_attempt_1.metadata.json ADDED
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1
+ {
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+ "attempt": 1,
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+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:06:11.383642+00:00",
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+ "stderr_metrics": {
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+ "bytes_utf8": 0,
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+ "lines": 0,
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+ },
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+ "parsed_output": {
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+ "format": "jsonl_events",
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+ "text_metrics": {
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+ "chars": 280,
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+ "bytes_utf8": 280,
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+ "lines": 4,
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+ },
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+ "usage": {}
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+ },
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+ "status": "failed",
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+ "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_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_attempt_2.metadata.json ADDED
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1
+ {
2
+ "attempt": 2,
3
+ "phase": "sql_generation",
4
+ "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -",
5
+ "started_at": "2026-05-19T16:06:15.596239+00:00",
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+ "lines": 4,
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+ },
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+ "usage": {}
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+ },
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+ "status": "failed",
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+ "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_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,310 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: m6
15
+ - dataset_name: Online Shoppers Purchasing Intention Dataset
16
+ - table_name: m6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
19
+ - task_type: classification
20
+ - target_column: VisitorType
21
+ - main_row_count: 12330
22
+ - important_fields:
23
+ - Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
24
+ - Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
25
+ - Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
26
+ - Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
27
+ - ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
28
+ - ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
29
+ - BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
30
+ - ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
31
+ - PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
32
+ - SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
33
+ - Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
34
+ - OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
35
+ - Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
36
+ - Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
37
+ - TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
38
+ - VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
39
+ - Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
40
+ - Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
41
+ - useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
42
+ - fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
43
+ - source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
44
+
45
+ SQLite schema snapshot:
46
+ {
47
+ "table_name": "m6",
48
+ "quoted_table_name": "\"m6\"",
49
+ "row_count": 12330,
50
+ "columns": [
51
+ {
52
+ "name": "Administrative",
53
+ "type": "TEXT",
54
+ "notnull": false,
55
+ "pk": false
56
+ },
57
+ {
58
+ "name": "Administrative_Duration",
59
+ "type": "TEXT",
60
+ "notnull": false,
61
+ "pk": false
62
+ },
63
+ {
64
+ "name": "Informational",
65
+ "type": "TEXT",
66
+ "notnull": false,
67
+ "pk": false
68
+ },
69
+ {
70
+ "name": "Informational_Duration",
71
+ "type": "TEXT",
72
+ "notnull": false,
73
+ "pk": false
74
+ },
75
+ {
76
+ "name": "ProductRelated",
77
+ "type": "TEXT",
78
+ "notnull": false,
79
+ "pk": false
80
+ },
81
+ {
82
+ "name": "ProductRelated_Duration",
83
+ "type": "TEXT",
84
+ "notnull": false,
85
+ "pk": false
86
+ },
87
+ {
88
+ "name": "BounceRates",
89
+ "type": "TEXT",
90
+ "notnull": false,
91
+ "pk": false
92
+ },
93
+ {
94
+ "name": "ExitRates",
95
+ "type": "TEXT",
96
+ "notnull": false,
97
+ "pk": false
98
+ },
99
+ {
100
+ "name": "PageValues",
101
+ "type": "TEXT",
102
+ "notnull": false,
103
+ "pk": false
104
+ },
105
+ {
106
+ "name": "SpecialDay",
107
+ "type": "TEXT",
108
+ "notnull": false,
109
+ "pk": false
110
+ },
111
+ {
112
+ "name": "Month",
113
+ "type": "TEXT",
114
+ "notnull": false,
115
+ "pk": false
116
+ },
117
+ {
118
+ "name": "OperatingSystems",
119
+ "type": "TEXT",
120
+ "notnull": false,
121
+ "pk": false
122
+ },
123
+ {
124
+ "name": "Browser",
125
+ "type": "TEXT",
126
+ "notnull": false,
127
+ "pk": false
128
+ },
129
+ {
130
+ "name": "Region",
131
+ "type": "TEXT",
132
+ "notnull": false,
133
+ "pk": false
134
+ },
135
+ {
136
+ "name": "TrafficType",
137
+ "type": "TEXT",
138
+ "notnull": false,
139
+ "pk": false
140
+ },
141
+ {
142
+ "name": "VisitorType",
143
+ "type": "TEXT",
144
+ "notnull": false,
145
+ "pk": false
146
+ },
147
+ {
148
+ "name": "Weekend",
149
+ "type": "TEXT",
150
+ "notnull": false,
151
+ "pk": false
152
+ },
153
+ {
154
+ "name": "Revenue",
155
+ "type": "TEXT",
156
+ "notnull": false,
157
+ "pk": false
158
+ }
159
+ ],
160
+ "sample_rows": [
161
+ {
162
+ "Administrative": "0",
163
+ "Administrative_Duration": "0",
164
+ "Informational": "0",
165
+ "Informational_Duration": "0",
166
+ "ProductRelated": "1",
167
+ "ProductRelated_Duration": "0",
168
+ "BounceRates": "0.2",
169
+ "ExitRates": "0.2",
170
+ "PageValues": "0",
171
+ "SpecialDay": "0",
172
+ "Month": "Feb",
173
+ "OperatingSystems": "1",
174
+ "Browser": "1",
175
+ "Region": "1",
176
+ "TrafficType": "1",
177
+ "VisitorType": "Returning_Visitor",
178
+ "Weekend": "FALSE",
179
+ "Revenue": "FALSE"
180
+ },
181
+ {
182
+ "Administrative": "0",
183
+ "Administrative_Duration": "0",
184
+ "Informational": "0",
185
+ "Informational_Duration": "0",
186
+ "ProductRelated": "2",
187
+ "ProductRelated_Duration": "64",
188
+ "BounceRates": "0",
189
+ "ExitRates": "0.1",
190
+ "PageValues": "0",
191
+ "SpecialDay": "0",
192
+ "Month": "Feb",
193
+ "OperatingSystems": "2",
194
+ "Browser": "2",
195
+ "Region": "1",
196
+ "TrafficType": "2",
197
+ "VisitorType": "Returning_Visitor",
198
+ "Weekend": "FALSE",
199
+ "Revenue": "FALSE"
200
+ },
201
+ {
202
+ "Administrative": "0",
203
+ "Administrative_Duration": "0",
204
+ "Informational": "0",
205
+ "Informational_Duration": "0",
206
+ "ProductRelated": "1",
207
+ "ProductRelated_Duration": "0",
208
+ "BounceRates": "0.2",
209
+ "ExitRates": "0.2",
210
+ "PageValues": "0",
211
+ "SpecialDay": "0",
212
+ "Month": "Feb",
213
+ "OperatingSystems": "4",
214
+ "Browser": "1",
215
+ "Region": "9",
216
+ "TrafficType": "3",
217
+ "VisitorType": "Returning_Visitor",
218
+ "Weekend": "FALSE",
219
+ "Revenue": "FALSE"
220
+ },
221
+ {
222
+ "Administrative": "0",
223
+ "Administrative_Duration": "0",
224
+ "Informational": "0",
225
+ "Informational_Duration": "0",
226
+ "ProductRelated": "2",
227
+ "ProductRelated_Duration": "2.666666667",
228
+ "BounceRates": "0.05",
229
+ "ExitRates": "0.14",
230
+ "PageValues": "0",
231
+ "SpecialDay": "0",
232
+ "Month": "Feb",
233
+ "OperatingSystems": "3",
234
+ "Browser": "2",
235
+ "Region": "2",
236
+ "TrafficType": "4",
237
+ "VisitorType": "Returning_Visitor",
238
+ "Weekend": "FALSE",
239
+ "Revenue": "FALSE"
240
+ },
241
+ {
242
+ "Administrative": "0",
243
+ "Administrative_Duration": "0",
244
+ "Informational": "0",
245
+ "Informational_Duration": "0",
246
+ "ProductRelated": "10",
247
+ "ProductRelated_Duration": "627.5",
248
+ "BounceRates": "0.02",
249
+ "ExitRates": "0.05",
250
+ "PageValues": "0",
251
+ "SpecialDay": "0",
252
+ "Month": "Feb",
253
+ "OperatingSystems": "3",
254
+ "Browser": "3",
255
+ "Region": "1",
256
+ "TrafficType": "4",
257
+ "VisitorType": "Returning_Visitor",
258
+ "Weekend": "TRUE",
259
+ "Revenue": "FALSE"
260
+ }
261
+ ]
262
+ }
263
+
264
+ Shortlisted templates:
265
+ [
266
+ {
267
+ "template_id": "tpl_tail_low_support_group_count_v2",
268
+ "template_name": "Low-Support Group Count",
269
+ "primary_family": "tail_rarity_structure",
270
+ "portability": "yes",
271
+ "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};",
272
+ "required_roles": [
273
+ "group_col"
274
+ ]
275
+ }
276
+ ]
277
+
278
+ Problem instance:
279
+ {
280
+ "dataset_id": "m6",
281
+ "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Browser.",
282
+ "planned_template_id": "tpl_tail_low_support_group_count_v2",
283
+ "bindings": {
284
+ "group_col": "Browser",
285
+ "top_k": 11,
286
+ "top_n": 5,
287
+ "num_tiles": 10,
288
+ "percentile_value": 0.95,
289
+ "z_threshold": 2.0,
290
+ "fraction_threshold": 0.1,
291
+ "baseline_multiplier": 1.5,
292
+ "baseline_fraction": 0.1,
293
+ "min_group_size": 5,
294
+ "min_support": 5,
295
+ "measure_threshold": 4.0,
296
+ "time_grain": "month",
297
+ "lookback_rows": 3,
298
+ "current_period_start": "'2024-01-01'",
299
+ "current_period_end": "'2024-04-01'",
300
+ "previous_period_start": "'2023-10-01'",
301
+ "previous_period_end": "'2024-01-01'",
302
+ "drift_ratio_threshold": 0.8
303
+ },
304
+ "can_vary": [],
305
+ "must_fix": [],
306
+ "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};"
307
+ }
308
+
309
+ Repair context:
310
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_1.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"type":"thread.started","thread_id":"019e40fc-d3ba-7b00-ae45-cddd3d013478"}
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_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_response_attempt_2.txt ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
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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_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_stderr_attempt_1.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_d7e9174e0688fb8a/cli/sql_stderr_attempt_2.txt ADDED
File without changes
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/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": "2026-05-19T16:08:39.172944+00:00",
6
+ "ended_at": "2026-05-19T16:08:42.458621+00:00",
7
+ "elapsed_ms": 3285.65,
8
+ "returncode": 1,
9
+ "prompt_metrics": {
10
+ "chars": 10474,
11
+ "bytes_utf8": 10474,
12
+ "lines": 312,
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_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_prompt_attempt_1.txt ADDED
@@ -0,0 +1,312 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: m6
15
+ - dataset_name: Online Shoppers Purchasing Intention Dataset
16
+ - table_name: m6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
19
+ - task_type: classification
20
+ - target_column: VisitorType
21
+ - main_row_count: 12330
22
+ - important_fields:
23
+ - Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
24
+ - Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
25
+ - Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
26
+ - Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
27
+ - ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
28
+ - ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
29
+ - BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
30
+ - ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
31
+ - PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
32
+ - SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
33
+ - Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
34
+ - OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
35
+ - Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
36
+ - Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
37
+ - TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
38
+ - VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
39
+ - Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
40
+ - Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
41
+ - useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
42
+ - fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
43
+ - source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
44
+
45
+ SQLite schema snapshot:
46
+ {
47
+ "table_name": "m6",
48
+ "quoted_table_name": "\"m6\"",
49
+ "row_count": 12330,
50
+ "columns": [
51
+ {
52
+ "name": "Administrative",
53
+ "type": "TEXT",
54
+ "notnull": false,
55
+ "pk": false
56
+ },
57
+ {
58
+ "name": "Administrative_Duration",
59
+ "type": "TEXT",
60
+ "notnull": false,
61
+ "pk": false
62
+ },
63
+ {
64
+ "name": "Informational",
65
+ "type": "TEXT",
66
+ "notnull": false,
67
+ "pk": false
68
+ },
69
+ {
70
+ "name": "Informational_Duration",
71
+ "type": "TEXT",
72
+ "notnull": false,
73
+ "pk": false
74
+ },
75
+ {
76
+ "name": "ProductRelated",
77
+ "type": "TEXT",
78
+ "notnull": false,
79
+ "pk": false
80
+ },
81
+ {
82
+ "name": "ProductRelated_Duration",
83
+ "type": "TEXT",
84
+ "notnull": false,
85
+ "pk": false
86
+ },
87
+ {
88
+ "name": "BounceRates",
89
+ "type": "TEXT",
90
+ "notnull": false,
91
+ "pk": false
92
+ },
93
+ {
94
+ "name": "ExitRates",
95
+ "type": "TEXT",
96
+ "notnull": false,
97
+ "pk": false
98
+ },
99
+ {
100
+ "name": "PageValues",
101
+ "type": "TEXT",
102
+ "notnull": false,
103
+ "pk": false
104
+ },
105
+ {
106
+ "name": "SpecialDay",
107
+ "type": "TEXT",
108
+ "notnull": false,
109
+ "pk": false
110
+ },
111
+ {
112
+ "name": "Month",
113
+ "type": "TEXT",
114
+ "notnull": false,
115
+ "pk": false
116
+ },
117
+ {
118
+ "name": "OperatingSystems",
119
+ "type": "TEXT",
120
+ "notnull": false,
121
+ "pk": false
122
+ },
123
+ {
124
+ "name": "Browser",
125
+ "type": "TEXT",
126
+ "notnull": false,
127
+ "pk": false
128
+ },
129
+ {
130
+ "name": "Region",
131
+ "type": "TEXT",
132
+ "notnull": false,
133
+ "pk": false
134
+ },
135
+ {
136
+ "name": "TrafficType",
137
+ "type": "TEXT",
138
+ "notnull": false,
139
+ "pk": false
140
+ },
141
+ {
142
+ "name": "VisitorType",
143
+ "type": "TEXT",
144
+ "notnull": false,
145
+ "pk": false
146
+ },
147
+ {
148
+ "name": "Weekend",
149
+ "type": "TEXT",
150
+ "notnull": false,
151
+ "pk": false
152
+ },
153
+ {
154
+ "name": "Revenue",
155
+ "type": "TEXT",
156
+ "notnull": false,
157
+ "pk": false
158
+ }
159
+ ],
160
+ "sample_rows": [
161
+ {
162
+ "Administrative": "0",
163
+ "Administrative_Duration": "0",
164
+ "Informational": "0",
165
+ "Informational_Duration": "0",
166
+ "ProductRelated": "1",
167
+ "ProductRelated_Duration": "0",
168
+ "BounceRates": "0.2",
169
+ "ExitRates": "0.2",
170
+ "PageValues": "0",
171
+ "SpecialDay": "0",
172
+ "Month": "Feb",
173
+ "OperatingSystems": "1",
174
+ "Browser": "1",
175
+ "Region": "1",
176
+ "TrafficType": "1",
177
+ "VisitorType": "Returning_Visitor",
178
+ "Weekend": "FALSE",
179
+ "Revenue": "FALSE"
180
+ },
181
+ {
182
+ "Administrative": "0",
183
+ "Administrative_Duration": "0",
184
+ "Informational": "0",
185
+ "Informational_Duration": "0",
186
+ "ProductRelated": "2",
187
+ "ProductRelated_Duration": "64",
188
+ "BounceRates": "0",
189
+ "ExitRates": "0.1",
190
+ "PageValues": "0",
191
+ "SpecialDay": "0",
192
+ "Month": "Feb",
193
+ "OperatingSystems": "2",
194
+ "Browser": "2",
195
+ "Region": "1",
196
+ "TrafficType": "2",
197
+ "VisitorType": "Returning_Visitor",
198
+ "Weekend": "FALSE",
199
+ "Revenue": "FALSE"
200
+ },
201
+ {
202
+ "Administrative": "0",
203
+ "Administrative_Duration": "0",
204
+ "Informational": "0",
205
+ "Informational_Duration": "0",
206
+ "ProductRelated": "1",
207
+ "ProductRelated_Duration": "0",
208
+ "BounceRates": "0.2",
209
+ "ExitRates": "0.2",
210
+ "PageValues": "0",
211
+ "SpecialDay": "0",
212
+ "Month": "Feb",
213
+ "OperatingSystems": "4",
214
+ "Browser": "1",
215
+ "Region": "9",
216
+ "TrafficType": "3",
217
+ "VisitorType": "Returning_Visitor",
218
+ "Weekend": "FALSE",
219
+ "Revenue": "FALSE"
220
+ },
221
+ {
222
+ "Administrative": "0",
223
+ "Administrative_Duration": "0",
224
+ "Informational": "0",
225
+ "Informational_Duration": "0",
226
+ "ProductRelated": "2",
227
+ "ProductRelated_Duration": "2.666666667",
228
+ "BounceRates": "0.05",
229
+ "ExitRates": "0.14",
230
+ "PageValues": "0",
231
+ "SpecialDay": "0",
232
+ "Month": "Feb",
233
+ "OperatingSystems": "3",
234
+ "Browser": "2",
235
+ "Region": "2",
236
+ "TrafficType": "4",
237
+ "VisitorType": "Returning_Visitor",
238
+ "Weekend": "FALSE",
239
+ "Revenue": "FALSE"
240
+ },
241
+ {
242
+ "Administrative": "0",
243
+ "Administrative_Duration": "0",
244
+ "Informational": "0",
245
+ "Informational_Duration": "0",
246
+ "ProductRelated": "10",
247
+ "ProductRelated_Duration": "627.5",
248
+ "BounceRates": "0.02",
249
+ "ExitRates": "0.05",
250
+ "PageValues": "0",
251
+ "SpecialDay": "0",
252
+ "Month": "Feb",
253
+ "OperatingSystems": "3",
254
+ "Browser": "3",
255
+ "Region": "1",
256
+ "TrafficType": "4",
257
+ "VisitorType": "Returning_Visitor",
258
+ "Weekend": "TRUE",
259
+ "Revenue": "FALSE"
260
+ }
261
+ ]
262
+ }
263
+
264
+ Shortlisted templates:
265
+ [
266
+ {
267
+ "template_id": "tpl_m4_window_partition_avg",
268
+ "template_name": "Window Partition Average",
269
+ "primary_family": "conditional_dependency_structure",
270
+ "portability": "partial",
271
+ "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;",
272
+ "required_roles": [
273
+ "group_col",
274
+ "measure_col"
275
+ ]
276
+ }
277
+ ]
278
+
279
+ Problem instance:
280
+ {
281
+ "dataset_id": "m6",
282
+ "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Region, measure_col=Region.",
283
+ "planned_template_id": "tpl_m4_window_partition_avg",
284
+ "bindings": {
285
+ "group_col": "Region",
286
+ "measure_col": "Region",
287
+ "top_k": 18,
288
+ "top_n": 6,
289
+ "num_tiles": 10,
290
+ "percentile_value": 0.9,
291
+ "z_threshold": 2.0,
292
+ "fraction_threshold": 0.05,
293
+ "baseline_multiplier": 1.75,
294
+ "baseline_fraction": 0.1,
295
+ "min_group_size": 5,
296
+ "min_support": 4,
297
+ "measure_threshold": 3.0,
298
+ "time_grain": "month",
299
+ "lookback_rows": 3,
300
+ "current_period_start": "'2024-01-01'",
301
+ "current_period_end": "'2024-04-01'",
302
+ "previous_period_start": "'2023-10-01'",
303
+ "previous_period_end": "'2024-01-01'",
304
+ "drift_ratio_threshold": 0.8
305
+ },
306
+ "can_vary": [],
307
+ "must_fix": [],
308
+ "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;"
309
+ }
310
+
311
+ Repair context:
312
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_prompt_attempt_2.txt ADDED
@@ -0,0 +1,312 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: m6
15
+ - dataset_name: Online Shoppers Purchasing Intention Dataset
16
+ - table_name: m6
17
+ - table_layout: single-table dataset (do not assume joins).
18
+ - row_semantics: One row is one tabular observation with 17 feature columns and target `VisitorType`.
19
+ - task_type: classification
20
+ - target_column: VisitorType
21
+ - main_row_count: 12330
22
+ - important_fields:
23
+ - Administrative: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Administrative.
24
+ - Administrative_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Administrative Duration.
25
+ - Informational: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Informational.
26
+ - Informational_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Informational Duration.
27
+ - ProductRelated: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated.
28
+ - ProductRelated_Duration: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ProductRelated Duration.
29
+ - BounceRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for BounceRates.
30
+ - ExitRates: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ExitRates.
31
+ - PageValues: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for PageValues.
32
+ - SpecialDay: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for SpecialDay.
33
+ - Month: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Month.
34
+ - OperatingSystems: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for OperatingSystems.
35
+ - Browser: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Browser.
36
+ - Region: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for Region.
37
+ - TrafficType: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for TrafficType.
38
+ - VisitorType: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for VisitorType.
39
+ - Weekend: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Weekend.
40
+ - Revenue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for Revenue.
41
+ - useful_field_combinations: [['Administrative', 'Informational', 'VisitorType'], ['Administrative', 'Administrative', 'VisitorType'], ['Administrative', 'Administrative_Duration', 'VisitorType']]
42
+ - fields_requiring_caution: ['VisitorType', 'Administrative_Duration', 'Informational_Duration', 'ProductRelated']
43
+ - source_url: https://archive.ics.uci.edu/dataset/468/online+shoppers+purchasing+intention+dataset
44
+
45
+ SQLite schema snapshot:
46
+ {
47
+ "table_name": "m6",
48
+ "quoted_table_name": "\"m6\"",
49
+ "row_count": 12330,
50
+ "columns": [
51
+ {
52
+ "name": "Administrative",
53
+ "type": "TEXT",
54
+ "notnull": false,
55
+ "pk": false
56
+ },
57
+ {
58
+ "name": "Administrative_Duration",
59
+ "type": "TEXT",
60
+ "notnull": false,
61
+ "pk": false
62
+ },
63
+ {
64
+ "name": "Informational",
65
+ "type": "TEXT",
66
+ "notnull": false,
67
+ "pk": false
68
+ },
69
+ {
70
+ "name": "Informational_Duration",
71
+ "type": "TEXT",
72
+ "notnull": false,
73
+ "pk": false
74
+ },
75
+ {
76
+ "name": "ProductRelated",
77
+ "type": "TEXT",
78
+ "notnull": false,
79
+ "pk": false
80
+ },
81
+ {
82
+ "name": "ProductRelated_Duration",
83
+ "type": "TEXT",
84
+ "notnull": false,
85
+ "pk": false
86
+ },
87
+ {
88
+ "name": "BounceRates",
89
+ "type": "TEXT",
90
+ "notnull": false,
91
+ "pk": false
92
+ },
93
+ {
94
+ "name": "ExitRates",
95
+ "type": "TEXT",
96
+ "notnull": false,
97
+ "pk": false
98
+ },
99
+ {
100
+ "name": "PageValues",
101
+ "type": "TEXT",
102
+ "notnull": false,
103
+ "pk": false
104
+ },
105
+ {
106
+ "name": "SpecialDay",
107
+ "type": "TEXT",
108
+ "notnull": false,
109
+ "pk": false
110
+ },
111
+ {
112
+ "name": "Month",
113
+ "type": "TEXT",
114
+ "notnull": false,
115
+ "pk": false
116
+ },
117
+ {
118
+ "name": "OperatingSystems",
119
+ "type": "TEXT",
120
+ "notnull": false,
121
+ "pk": false
122
+ },
123
+ {
124
+ "name": "Browser",
125
+ "type": "TEXT",
126
+ "notnull": false,
127
+ "pk": false
128
+ },
129
+ {
130
+ "name": "Region",
131
+ "type": "TEXT",
132
+ "notnull": false,
133
+ "pk": false
134
+ },
135
+ {
136
+ "name": "TrafficType",
137
+ "type": "TEXT",
138
+ "notnull": false,
139
+ "pk": false
140
+ },
141
+ {
142
+ "name": "VisitorType",
143
+ "type": "TEXT",
144
+ "notnull": false,
145
+ "pk": false
146
+ },
147
+ {
148
+ "name": "Weekend",
149
+ "type": "TEXT",
150
+ "notnull": false,
151
+ "pk": false
152
+ },
153
+ {
154
+ "name": "Revenue",
155
+ "type": "TEXT",
156
+ "notnull": false,
157
+ "pk": false
158
+ }
159
+ ],
160
+ "sample_rows": [
161
+ {
162
+ "Administrative": "0",
163
+ "Administrative_Duration": "0",
164
+ "Informational": "0",
165
+ "Informational_Duration": "0",
166
+ "ProductRelated": "1",
167
+ "ProductRelated_Duration": "0",
168
+ "BounceRates": "0.2",
169
+ "ExitRates": "0.2",
170
+ "PageValues": "0",
171
+ "SpecialDay": "0",
172
+ "Month": "Feb",
173
+ "OperatingSystems": "1",
174
+ "Browser": "1",
175
+ "Region": "1",
176
+ "TrafficType": "1",
177
+ "VisitorType": "Returning_Visitor",
178
+ "Weekend": "FALSE",
179
+ "Revenue": "FALSE"
180
+ },
181
+ {
182
+ "Administrative": "0",
183
+ "Administrative_Duration": "0",
184
+ "Informational": "0",
185
+ "Informational_Duration": "0",
186
+ "ProductRelated": "2",
187
+ "ProductRelated_Duration": "64",
188
+ "BounceRates": "0",
189
+ "ExitRates": "0.1",
190
+ "PageValues": "0",
191
+ "SpecialDay": "0",
192
+ "Month": "Feb",
193
+ "OperatingSystems": "2",
194
+ "Browser": "2",
195
+ "Region": "1",
196
+ "TrafficType": "2",
197
+ "VisitorType": "Returning_Visitor",
198
+ "Weekend": "FALSE",
199
+ "Revenue": "FALSE"
200
+ },
201
+ {
202
+ "Administrative": "0",
203
+ "Administrative_Duration": "0",
204
+ "Informational": "0",
205
+ "Informational_Duration": "0",
206
+ "ProductRelated": "1",
207
+ "ProductRelated_Duration": "0",
208
+ "BounceRates": "0.2",
209
+ "ExitRates": "0.2",
210
+ "PageValues": "0",
211
+ "SpecialDay": "0",
212
+ "Month": "Feb",
213
+ "OperatingSystems": "4",
214
+ "Browser": "1",
215
+ "Region": "9",
216
+ "TrafficType": "3",
217
+ "VisitorType": "Returning_Visitor",
218
+ "Weekend": "FALSE",
219
+ "Revenue": "FALSE"
220
+ },
221
+ {
222
+ "Administrative": "0",
223
+ "Administrative_Duration": "0",
224
+ "Informational": "0",
225
+ "Informational_Duration": "0",
226
+ "ProductRelated": "2",
227
+ "ProductRelated_Duration": "2.666666667",
228
+ "BounceRates": "0.05",
229
+ "ExitRates": "0.14",
230
+ "PageValues": "0",
231
+ "SpecialDay": "0",
232
+ "Month": "Feb",
233
+ "OperatingSystems": "3",
234
+ "Browser": "2",
235
+ "Region": "2",
236
+ "TrafficType": "4",
237
+ "VisitorType": "Returning_Visitor",
238
+ "Weekend": "FALSE",
239
+ "Revenue": "FALSE"
240
+ },
241
+ {
242
+ "Administrative": "0",
243
+ "Administrative_Duration": "0",
244
+ "Informational": "0",
245
+ "Informational_Duration": "0",
246
+ "ProductRelated": "10",
247
+ "ProductRelated_Duration": "627.5",
248
+ "BounceRates": "0.02",
249
+ "ExitRates": "0.05",
250
+ "PageValues": "0",
251
+ "SpecialDay": "0",
252
+ "Month": "Feb",
253
+ "OperatingSystems": "3",
254
+ "Browser": "3",
255
+ "Region": "1",
256
+ "TrafficType": "4",
257
+ "VisitorType": "Returning_Visitor",
258
+ "Weekend": "TRUE",
259
+ "Revenue": "FALSE"
260
+ }
261
+ ]
262
+ }
263
+
264
+ Shortlisted templates:
265
+ [
266
+ {
267
+ "template_id": "tpl_m4_window_partition_avg",
268
+ "template_name": "Window Partition Average",
269
+ "primary_family": "conditional_dependency_structure",
270
+ "portability": "partial",
271
+ "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;",
272
+ "required_roles": [
273
+ "group_col",
274
+ "measure_col"
275
+ ]
276
+ }
277
+ ]
278
+
279
+ Problem instance:
280
+ {
281
+ "dataset_id": "m6",
282
+ "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=Region, measure_col=Region.",
283
+ "planned_template_id": "tpl_m4_window_partition_avg",
284
+ "bindings": {
285
+ "group_col": "Region",
286
+ "measure_col": "Region",
287
+ "top_k": 18,
288
+ "top_n": 6,
289
+ "num_tiles": 10,
290
+ "percentile_value": 0.9,
291
+ "z_threshold": 2.0,
292
+ "fraction_threshold": 0.05,
293
+ "baseline_multiplier": 1.75,
294
+ "baseline_fraction": 0.1,
295
+ "min_group_size": 5,
296
+ "min_support": 4,
297
+ "measure_threshold": 3.0,
298
+ "time_grain": "month",
299
+ "lookback_rows": 3,
300
+ "current_period_start": "'2024-01-01'",
301
+ "current_period_end": "'2024-04-01'",
302
+ "previous_period_start": "'2023-10-01'",
303
+ "previous_period_end": "'2024-01-01'",
304
+ "drift_ratio_threshold": 0.8
305
+ },
306
+ "can_vary": [],
307
+ "must_fix": [],
308
+ "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;"
309
+ }
310
+
311
+ Repair context:
312
+ {}
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_1.raw.txt ADDED
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Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_response_attempt_2.raw.txt ADDED
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+ {"type":"turn.started"}
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+ {"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}}
Query/sql/v2/runs/v2_cli_20260502_081223_b/m6/artifacts/v2q_m6_df97c67c8cbb5094/cli/sql_stderr_attempt_1.txt ADDED
File without changes