diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5207c7afc686ddc04fbac3d4ff97e785d28ea6e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=duration, measure_col=release_year. +Result preview: [{"duration": "273 min", "avg_measure": 2021.0}, {"duration": "39 min", "avg_measure": 2021.0}, {"duration": "36 min", "avg_measure": 2020.6}, {"duration": "21 min", "avg_measure": 2020.3333333333333}, {"duration": "13 min", "avg_measure": 2020.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7650c5de96a31da31adfd0de6312830d68274221 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_c17_023ee72a13638b07 +-- problem_id: v2p_c17_4bbe8e94c2d33afe +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "duration", + AVG(CAST("release_year" AS REAL)) OVER (PARTITION BY "duration") AS avg_measure +FROM "c17" +WHERE "duration" IS NOT NULL + AND "duration" <> '' + AND "release_year" GLOB '[0-9][0-9][0-9][0-9]' +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3272924ac572b57b1936d85a934eac1e3b57f5a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"duration\",\n AVG(CAST(\"release_year\" AS REAL)) OVER (PARTITION BY \"duration\") AS avg_measure\nFROM \"c17\"\nWHERE \"duration\" IS NOT NULL\n AND \"duration\" <> ''\n AND \"release_year\" GLOB '[0-9][0-9][0-9][0-9]'\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"duration\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"duration\\\") AS avg_measure\\nFROM \\\"c17\\\"\\nWHERE \\\"duration\\\" IS NOT NULL\\n AND \\\"duration\\\" <> ''\\n AND \\\"release_year\\\" GLOB '[0-9][0-9][0-9][0-9]'\\nORDER BY avg_measure DESC;\", \"columns\": [\"duration\", \"avg_measure\"], \"rows\": [{\"duration\": \"273 min\", \"avg_measure\": 2021.0}, {\"duration\": \"39 min\", \"avg_measure\": 2021.0}, {\"duration\": \"36 min\", \"avg_measure\": 2020.6}, {\"duration\": \"21 min\", \"avg_measure\": 2020.3333333333333}, {\"duration\": \"13 min\", \"avg_measure\": 2020.0}, {\"duration\": \"16 min\", \"avg_measure\": 2020.0}, {\"duration\": \"17 Seasons\", \"avg_measure\": 2020.0}, {\"duration\": \"17 min\", \"avg_measure\": 2020.0}, {\"duration\": \"5 min\", \"avg_measure\": 2020.0}, {\"duration\": \"8 min\", \"avg_measure\": 2020.0}, {\"duration\": \"9 min\", \"avg_measure\": 2020.0}, {\"duration\": \"15 min\", \"avg_measure\": 2019.6666666666667}, {\"duration\": \"10 min\", \"avg_measure\": 2019.0}, {\"duration\": \"14 min\", \"avg_measure\": 2019.0}, {\"duration\": \"20 min\", \"avg_measure\": 2019.0}, {\"duration\": \"34 min\", \"avg_measure\": 2018.3333333333333}, {\"duration\": \"11 min\", \"avg_measure\": 2018.0}, {\"duration\": \"15 Seasons\", \"avg_measure\": 2018.0}, {\"duration\": \"312 min\", \"avg_measure\": 2018.0}, {\"duration\": \"33 min\", \"avg_measure\": 2017.8333333333333}, {\"duration\": \"38 min\", \"avg_measure\": 2017.8}, {\"duration\": \"3 Seasons\", \"avg_measure\": 2017.7085427135678}, {\"duration\": \"13 Seasons\", \"avg_measure\": 2017.6666666666667}, {\"duration\": \"41 min\", \"avg_measure\": 2017.6666666666667}, {\"duration\": \"23 min\", \"avg_measure\": 2017.5384615384614}, {\"duration\": \"12 Seasons\", \"avg_measure\": 2017.5}, {\"duration\": \"51 min\", \"avg_measure\": 2017.3636363636363}, {\"duration\": \"2 Seasons\", \"avg_measure\": 2017.270588235294}, {\"duration\": \"65 min\", \"avg_measure\": 2017.16}, {\"duration\": \"57 min\", \"avg_measure\": 2017.0714285714287}, {\"duration\": \"67 min\", \"avg_measure\": 2017.047619047619}, {\"duration\": \"190 min\", \"avg_measure\": 2017.0}, {\"duration\": \"212 min\", \"avg_measure\": 2017.0}, {\"duration\": \"24 min\", \"avg_measure\": 2017.0}, {\"duration\": \"27 min\", \"avg_measure\": 2017.0}, {\"duration\": \"64 min\", \"avg_measure\": 2016.9565217391305}, {\"duration\": \"54 min\", \"avg_measure\": 2016.9166666666667}, {\"duration\": \"44 min\", \"avg_measure\": 2016.842105263158}, {\"duration\": \"35 min\", \"avg_measure\": 2016.8}, {\"duration\": \"53 min\", \"avg_measure\": 2016.7083333333333}, {\"duration\": \"60 min\", \"avg_measure\": 2016.655172413793}, {\"duration\": \"1 Season\", \"avg_measure\": 2016.58561070831}, {\"duration\": \"22 min\", \"avg_measure\": 2016.375}, {\"duration\": \"70 min\", \"avg_measure\": 2016.3214285714287}, {\"duration\": \"28 min\", \"avg_measure\": 2016.2}, {\"duration\": \"5 Seasons\", \"avg_measure\": 2016.2}, {\"duration\": \"12 min\", \"avg_measure\": 2016.0}, {\"duration\": \"180 min\", \"avg_measure\": 2016.0}, {\"duration\": \"19 min\", \"avg_measure\": 2016.0}, {\"duration\": \"66 min\", \"avg_measure\": 2015.9285714285713}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 33.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..734c500495f4ad8ceeaf7b1997c8b8b36e3301a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:01:36.361729+00:00", + "ended_at": "2026-05-19T16:01:47.979626+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_023ee72a13638b07", + "problem_id": "v2p_c17_4bbe8e94c2d33afe", + "dataset_id": "c17", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=duration, measure_col=release_year.", + "bindings": { + "group_col": "duration", + "measure_col": "release_year", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_023ee72a13638b07.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_023ee72a13638b07", + "api_calls": 0, + "input_tokens": 14655, + "cached_input_tokens": 12032, + "output_tokens": 528, + "total_tokens": 15183, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11577.72, + "sql_execution_elapsed_ms_total": 33.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b899edecdcec50c1b0ee966e797b91a58c0cc47b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:47.943971+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11577.72, "started_at": "2026-05-19T16:01:36.364739+00:00", "ended_at": "2026-05-19T16:01:47.942494+00:00", "prompt_metrics": {"chars": 9259, "bytes_utf8": 9261, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 585, "bytes_utf8": 585, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14655, "cached_input_tokens": 12032, "output_tokens": 528, "reasoning_output_tokens": 369}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"duration\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"duration\\\") AS avg_measure\\nFROM \\\"c17\\\"\\nWHERE \\\"duration\\\" IS NOT NULL\\n AND \\\"duration\\\" <> ''\\n AND \\\"release_year\\\" GLOB '[0-9][0-9][0-9][0-9]'\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"duration\\\" and measure_col=\\\"release_year\\\". Cast \\\"release_year\\\" to REAL because it is stored as TEXT in the schema, and filtered to 4-digit numeric years for SQLite-safe averaging.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81c2f306ad3e5b590456af4a0067e240b59fe8c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_023ee72a13638b07", + "api_calls": 0, + "input_tokens": 14655, + "cached_input_tokens": 12032, + "output_tokens": 528, + "total_tokens": 15183, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11577.72, + "sql_execution_elapsed_ms_total": 33.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f95712fbb114af3b812385702b68f0c6450bd20f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:55:21.406433+00:00", + "ended_at": "2026-05-19T15:55:29.431127+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_0fdb2bad4974287c", + "problem_id": "v2p_c17_03a0cffb6eb8afaa", + "dataset_id": "c17", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=duration, condition_col=type.", + "bindings": { + "group_col": "duration", + "condition_col": "type", + "condition_value": "TV Show", + "positive_value": "Movie", + "negative_value": "TV Show", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dcd9ece7afb3ded8f188ace0c9823bf58c66bf32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:25.293468+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": 3883.23, "started_at": "2026-05-19T15:55:21.409460+00:00", "ended_at": "2026-05-19T15:55:25.292717+00:00", "prompt_metrics": {"chars": 9421, "bytes_utf8": 9423, "lines": 243, "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\":\"019e40f2-e8bc-7f33-9984-535621ba054e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:55:29.431044+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3136.02, "started_at": "2026-05-19T15:55:26.294279+00:00", "ended_at": "2026-05-19T15:55:29.430323+00:00", "prompt_metrics": {"chars": 9421, "bytes_utf8": 9423, "lines": 243, "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\":\"019e40f2-fbf3-7bb1-a7dc-7e960f00e2e9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1680b99102f41f4e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1680b99102f41f4e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b4bdee7e4c0f3a919837a9dfacbf5b0e770d49f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1680b99102f41f4e/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:54:31.026441+00:00", + "ended_at": "2026-05-19T15:54:38.327259+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_1680b99102f41f4e", + "problem_id": "v2p_c17_32232684335c43bb", + "dataset_id": "c17", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=release_year, condition_col=type.", + "bindings": { + "group_col": "release_year", + "condition_col": "type", + "condition_value": "Movie", + "positive_value": "Movie", + "negative_value": "TV Show", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1680b99102f41f4e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1680b99102f41f4e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b7591ea1344977ef815767aefdccf1506c18139c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_1680b99102f41f4e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:34.190196+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": 3158.68, "started_at": "2026-05-19T15:54:31.030723+00:00", "ended_at": "2026-05-19T15:54:34.189431+00:00", "prompt_metrics": {"chars": 9420, "bytes_utf8": 9422, "lines": 243, "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\":\"019e40f2-23f3-7f23-a35a-5b975e388cd0\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:54:38.327053+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3134.43, "started_at": "2026-05-19T15:54:35.191046+00:00", "ended_at": "2026-05-19T15:54:38.325508+00:00", "prompt_metrics": {"chars": 9420, "bytes_utf8": 9422, "lines": 243, "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\":\"019e40f2-3437-7e83-9c46-714aa9cc119c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..402adde4a9e47925d44fe9ecb4d48685b32a6ee1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=release_year. +Result preview: [{"empirical_cdf_at_threshold": 0.8245713636879755}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..efd6632a42949ffb611e8caa775bd76025040de7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_c17_2160283566237046 +-- problem_id: v2p_c17_f4f07927e929c16f +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("release_year" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "c17"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..acf5ae4de0f570348338b49c072e23d2e16ee76b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"release_year\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c17\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"release_year\\\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c17\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.8245713636879755}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9a5f6e4abe2bdb65df1e6f815844a8d325d048c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:57:12.506958+00:00", + "ended_at": "2026-05-19T15:57:24.999505+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_2160283566237046", + "problem_id": "v2p_c17_f4f07927e929c16f", + "dataset_id": "c17", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=release_year.", + "bindings": { + "measure_col": "release_year", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=111" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_2160283566237046.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_2160283566237046", + "api_calls": 0, + "input_tokens": 14636, + "cached_input_tokens": 13696, + "output_tokens": 300, + "total_tokens": 14936, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11476.58, + "sql_execution_elapsed_ms_total": 5.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e2e5bf618febb98cbcff0d4b14444c810588cbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:15.364719+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": 2853.73, "started_at": "2026-05-19T15:57:12.510170+00:00", "ended_at": "2026-05-19T15:57:15.363924+00:00", "prompt_metrics": {"chars": 9114, "bytes_utf8": 9116, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-9ace-75b0-a5eb-0adf1d016317\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:57:24.990729+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": 8622.85, "started_at": "2026-05-19T15:57:16.366233+00:00", "ended_at": "2026-05-19T15:57:24.989131+00:00", "prompt_metrics": {"chars": 9114, "bytes_utf8": 9116, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14636, "cached_input_tokens": 13696, "output_tokens": 300, "reasoning_output_tokens": 191}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"release_year\\\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c17\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col bound to \\\"release_year\\\" and threshold 2019.0. CAST was added because \\\"release_year\\\" is stored as TEXT in the schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..04e8e53c983b3050b2c0439ab1e48ceecf9562ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_2160283566237046", + "api_calls": 0, + "input_tokens": 14636, + "cached_input_tokens": 13696, + "output_tokens": 300, + "total_tokens": 14936, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11476.58, + "sql_execution_elapsed_ms_total": 5.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2160283566237046/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c983f78acce9f528b38131802a8324d6bf1ae13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=rating, measure_col=release_year. +Result preview: [{"rating": "TV-14", "percentile_measure": 2020}, {"rating": "TV-G", "percentile_measure": 2020}, {"rating": "TV-MA", "percentile_measure": 2020}, {"rating": "TV-PG", "percentile_measure": 2020}, {"rating": "TV-Y", "percentile_measure": 2020}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..806761e86de72ed7055ab3f1fb85f90fabbb1aa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/generated_sql.sql @@ -0,0 +1,49 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c17_25f04d7a3f001d53 +-- problem_id: v2p_c17_785161151a7147a7 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "rating", + CAST("release_year" AS INTEGER) AS "release_year_int", + ROW_NUMBER() OVER ( + PARTITION BY "rating" + ORDER BY CAST("release_year" AS INTEGER) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "rating" + ) AS "cnt" + FROM "c17" + WHERE "rating" IS NOT NULL + AND "rating" <> '' + AND "release_year" IS NOT NULL + AND "release_year" <> '' +), +"percentiles" AS ( + SELECT + "rating", + "release_year_int" AS "percentile_measure", + "cnt", + ROW_NUMBER() OVER ( + PARTITION BY "rating" + ORDER BY "rn" + ) AS "pick_rank" + FROM "ordered" + WHERE "rn" >= CAST((0.9 * "cnt") + 0.999999 AS INTEGER) +) +SELECT + "rating", + "percentile_measure" +FROM "percentiles" +WHERE "pick_rank" = 1 + AND "cnt" >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b42f0de42293ea42c533e38083fdfddfe66e286 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"rating\",\n CAST(\"release_year\" AS INTEGER) AS \"release_year_int\",\n ROW_NUMBER() OVER (\n PARTITION BY \"rating\"\n ORDER BY CAST(\"release_year\" AS INTEGER)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"rating\"\n ) AS \"cnt\"\n FROM \"c17\"\n WHERE \"rating\" IS NOT NULL\n AND \"rating\" <> ''\n AND \"release_year\" IS NOT NULL\n AND \"release_year\" <> ''\n),\n\"percentiles\" AS (\n SELECT\n \"rating\",\n \"release_year_int\" AS \"percentile_measure\",\n \"cnt\",\n ROW_NUMBER() OVER (\n PARTITION BY \"rating\"\n ORDER BY \"rn\"\n ) AS \"pick_rank\"\n FROM \"ordered\"\n WHERE \"rn\" >= CAST((0.9 * \"cnt\") + 0.999999 AS INTEGER)\n)\nSELECT\n \"rating\",\n \"percentile_measure\"\nFROM \"percentiles\"\nWHERE \"pick_rank\" = 1\n AND \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"rating\\\",\\n CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_int\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"rating\\\"\\n ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"rating\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c17\\\"\\n WHERE \\\"rating\\\" IS NOT NULL\\n AND \\\"rating\\\" <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND \\\"release_year\\\" <> ''\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"rating\\\",\\n \\\"release_year_int\\\" AS \\\"percentile_measure\\\",\\n \\\"cnt\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"rating\\\"\\n ORDER BY \\\"rn\\\"\\n ) AS \\\"pick_rank\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"rn\\\" >= CAST((0.9 * \\\"cnt\\\") + 0.999999 AS INTEGER)\\n)\\nSELECT\\n \\\"rating\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nWHERE \\\"pick_rank\\\" = 1\\n AND \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"rating\", \"percentile_measure\"], \"rows\": [{\"rating\": \"TV-14\", \"percentile_measure\": 2020}, {\"rating\": \"TV-G\", \"percentile_measure\": 2020}, {\"rating\": \"TV-MA\", \"percentile_measure\": 2020}, {\"rating\": \"TV-PG\", \"percentile_measure\": 2020}, {\"rating\": \"TV-Y\", \"percentile_measure\": 2020}, {\"rating\": \"TV-Y7\", \"percentile_measure\": 2020}, {\"rating\": \"PG\", \"percentile_measure\": 2019}, {\"rating\": \"PG-13\", \"percentile_measure\": 2019}, {\"rating\": \"R\", \"percentile_measure\": 2019}, {\"rating\": \"TV-Y7-FV\", \"percentile_measure\": 2018}, {\"rating\": \"G\", \"percentile_measure\": 2017}, {\"rating\": \"NR\", \"percentile_measure\": 2016}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 49.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c1994a71216e0454b271f764fdfa63e400a57838 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:52:34.244099+00:00", + "ended_at": "2026-05-19T15:52:49.956540+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_25f04d7a3f001d53", + "problem_id": "v2p_c17_785161151a7147a7", + "dataset_id": "c17", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=rating, measure_col=release_year.", + "bindings": { + "group_col": "rating", + "measure_col": "release_year", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2018.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_25f04d7a3f001d53.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_25f04d7a3f001d53", + "api_calls": 0, + "input_tokens": 14683, + "cached_input_tokens": 13696, + "output_tokens": 877, + "total_tokens": 15560, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15656.18, + "sql_execution_elapsed_ms_total": 49.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a384ee0bec2c36c9b49b34c14519e02e77b5a848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:49.904895+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15656.18, "started_at": "2026-05-19T15:52:34.246874+00:00", "ended_at": "2026-05-19T15:52:49.903085+00:00", "prompt_metrics": {"chars": 9353, "bytes_utf8": 9355, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 1258, "bytes_utf8": 1258, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14683, "cached_input_tokens": 13696, "output_tokens": 877, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"rating\\\",\\n CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_int\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"rating\\\"\\n ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"rating\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"c17\\\"\\n WHERE \\\"rating\\\" IS NOT NULL\\n AND \\\"rating\\\" <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND \\\"release_year\\\" <> ''\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"rating\\\",\\n \\\"release_year_int\\\" AS \\\"percentile_measure\\\",\\n \\\"cnt\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"rating\\\"\\n ORDER BY \\\"rn\\\"\\n ) AS \\\"pick_rank\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"rn\\\" >= CAST((0.9 * \\\"cnt\\\") + 0.999999 AS INTEGER)\\n)\\nSELECT\\n \\\"rating\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nWHERE \\\"pick_rank\\\" = 1\\n AND \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite has no PERCENT"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9cd90e0dbbfe0d642e5cefb1bc46b6c1ee4a6fa8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_25f04d7a3f001d53", + "api_calls": 0, + "input_tokens": 14683, + "cached_input_tokens": 13696, + "output_tokens": 877, + "total_tokens": 15560, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15656.18, + "sql_execution_elapsed_ms_total": 49.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_25f04d7a3f001d53/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..17019711fba5dfdf9a047483e3a6dd278959a0a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=duration. +Result preview: [{"duration": "10 min", "support": 1}, {"duration": "16 min", "support": 1}, {"duration": "167 min", "support": 1}, {"duration": "17 Seasons", "support": 1}, {"duration": "178 min", "support": 1}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a45d8d71f23d4a53755fcc488982e8e54b1a1524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_c17_2a26c1bc75524d73 +-- problem_id: v2p_c17_a6844072f31a1af6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "duration", + COUNT(*) AS "support" +FROM "c17" +GROUP BY "duration" +ORDER BY "support" ASC, "duration" +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48b47afbd1cf7e779baf31deafba1721d82518ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"duration\",\n COUNT(*) AS \"support\"\nFROM \"c17\"\nGROUP BY \"duration\"\nORDER BY \"support\" ASC, \"duration\"\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"duration\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"duration\\\"\\nORDER BY \\\"support\\\" ASC, \\\"duration\\\"\\nLIMIT 18;\", \"columns\": [\"duration\", \"support\"], \"rows\": [{\"duration\": \"10 min\", \"support\": 1}, {\"duration\": \"16 min\", \"support\": 1}, {\"duration\": \"167 min\", \"support\": 1}, {\"duration\": \"17 Seasons\", \"support\": 1}, {\"duration\": \"178 min\", \"support\": 1}, {\"duration\": \"18 min\", \"support\": 1}, {\"duration\": \"186 min\", \"support\": 1}, {\"duration\": \"189 min\", \"support\": 1}, {\"duration\": \"191 min\", \"support\": 1}, {\"duration\": \"193 min\", \"support\": 1}, {\"duration\": \"194 min\", \"support\": 1}, {\"duration\": \"196 min\", \"support\": 1}, {\"duration\": \"200 min\", \"support\": 1}, {\"duration\": \"201 min\", \"support\": 1}, {\"duration\": \"203 min\", \"support\": 1}, {\"duration\": \"205 min\", \"support\": 1}, {\"duration\": \"208 min\", \"support\": 1}, {\"duration\": \"212 min\", \"support\": 1}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..113ab7112e1ece9b2368f21a86c5d304e5d616b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:59:13.068405+00:00", + "ended_at": "2026-05-19T15:59:25.454532+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_2a26c1bc75524d73", + "problem_id": "v2p_c17_a6844072f31a1af6", + "dataset_id": "c17", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=duration.", + "bindings": { + "group_col": "duration", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_2a26c1bc75524d73.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_2a26c1bc75524d73", + "api_calls": 0, + "input_tokens": 14655, + "cached_input_tokens": 13696, + "output_tokens": 250, + "total_tokens": 14905, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11371.12, + "sql_execution_elapsed_ms_total": 7.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5bef000c3bfd4f7ec24906a101fc342ec055456b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:16.417939+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": 3346.13, "started_at": "2026-05-19T15:59:13.071071+00:00", "ended_at": "2026-05-19T15:59:16.417224+00:00", "prompt_metrics": {"chars": 9161, "bytes_utf8": 9163, "lines": 238, "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\":\"019e40f6-71b3-74e3-984d-64683626fe74\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:59:25.445387+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": 8024.99, "started_at": "2026-05-19T15:59:17.419542+00:00", "ended_at": "2026-05-19T15:59:25.444582+00:00", "prompt_metrics": {"chars": 9161, "bytes_utf8": 9163, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14655, "cached_input_tokens": 13696, "output_tokens": 250, "reasoning_output_tokens": 154}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"duration\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"duration\\\"\\nORDER BY \\\"support\\\" ASC, \\\"duration\\\"\\nLIMIT 18;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"duration\\\", returning the 18 rarest duration groups by row count.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a74d67a5b7405c08018344731de251d3e6062426 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_2a26c1bc75524d73", + "api_calls": 0, + "input_tokens": 14655, + "cached_input_tokens": 13696, + "output_tokens": 250, + "total_tokens": 14905, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11371.12, + "sql_execution_elapsed_ms_total": 7.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_2a26c1bc75524d73/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32b454616a5f99a9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32b454616a5f99a9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..52f2a8598b0da3f0db4abe5487644f66c43213f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32b454616a5f99a9/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:55:13.924161+00:00", + "ended_at": "2026-05-19T15:55:21.406080+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_32b454616a5f99a9", + "problem_id": "v2p_c17_d4897c1b5bbead31", + "dataset_id": "c17", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=duration, condition_col=type.", + "bindings": { + "group_col": "duration", + "condition_col": "type", + "condition_value": "Movie", + "positive_value": "Movie", + "negative_value": "TV Show", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32b454616a5f99a9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32b454616a5f99a9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cdb9cff035a1bd168488ea00dc5fb8d3f239b654 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32b454616a5f99a9/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:17.055815+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": 3128.11, "started_at": "2026-05-19T15:55:13.927020+00:00", "ended_at": "2026-05-19T15:55:17.055148+00:00", "prompt_metrics": {"chars": 9412, "bytes_utf8": 9414, "lines": 243, "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\":\"019e40f2-cb80-7e62-ad08-eb94e9dbbf06\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:55:21.405980+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3348.51, "started_at": "2026-05-19T15:55:18.056624+00:00", "ended_at": "2026-05-19T15:55:21.405170+00:00", "prompt_metrics": {"chars": 9412, "bytes_utf8": 9414, "lines": 243, "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\":\"019e40f2-dba5-7893-a2fb-a1a5a19a5ca2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..10b0ab36cc3bf7624d5b299da289a276fa5ddf2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"type": "Movie", "total_rows": 6131, "missing_rows": 0, "missing_rate": 0.0}, {"type": "TV Show", "total_rows": 2676, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..69e8a3933a58540d235aaca95d9273fdf5ac32cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c17_32f25932f5557732 +-- problem_id: v2p_c17_c057067152a33e29 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "type", + COUNT(*) AS total_rows, + SUM(CASE WHEN "director" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "director" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c17" +GROUP BY "type" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9760b2f59e94a5eeb3e3b1b18559b1e50b8be206 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c17\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c17_32f25932f5557732\n-- problem_id: v2p_c17_c057067152a33e29\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"type\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"director\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"director\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c17\"\nGROUP BY \"type\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c17\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c17_32f25932f5557732\\n-- problem_id: v2p_c17_c057067152a33e29\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"type\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"director\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"director\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"type\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"type\": \"Movie\", \"total_rows\": 6131, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"type\": \"TV Show\", \"total_rows\": 2676, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.52}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dc5b8acab40464f759e66021c2f4d0d1dd004f00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:03:15.317476+00:00", + "ended_at": "2026-05-19T16:03:15.322685+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_32f25932f5557732", + "problem_id": "v2p_c17_c057067152a33e29", + "dataset_id": "c17", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=type, missing_col=director.", + "bindings": { + "missing_col": "director", + "group_col": "type" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_32f25932f5557732.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_32f25932f5557732/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c67a8c6cd7f26ac091f0f1b7e389c536e335fb8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=release_year, condition_col=type. +Result preview: [{"release_year": "1925", "condition_rate": 1.0}, {"release_year": "2021", "condition_rate": 0.5320945945945946}, {"release_year": "1963", "condition_rate": 0.5}, {"release_year": "1946", "condition_rate": 0.5}, {"release_year": "2020", "condition_rate": 0.45750262329485836}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8b4fc1c641dfc1037422fc721d246177ae402b3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c17_3e0379dd71f9e74b +-- problem_id: v2p_c17_00afd17e5ca8ef68 +-- realization_mode: agent +-- source_kind: agent +SELECT "release_year", + AVG(CASE WHEN "type" = 'TV Show' THEN 1 ELSE 0 END) AS condition_rate +FROM "c17" +GROUP BY "release_year" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc46f001d8b254f4f9bc7103eb2ef3dcc5fb1193 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"release_year\",\n AVG(CASE WHEN \"type\" = 'TV Show' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"c17\"\nGROUP BY \"release_year\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"release_year\\\",\\n AVG(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"release_year\", \"condition_rate\"], \"rows\": [{\"release_year\": \"1925\", \"condition_rate\": 1.0}, {\"release_year\": \"2021\", \"condition_rate\": 0.5320945945945946}, {\"release_year\": \"1963\", \"condition_rate\": 0.5}, {\"release_year\": \"1946\", \"condition_rate\": 0.5}, {\"release_year\": \"2020\", \"condition_rate\": 0.45750262329485836}, {\"release_year\": \"2019\", \"condition_rate\": 0.38543689320388347}, {\"release_year\": \"2018\", \"condition_rate\": 0.33129904097646035}, {\"release_year\": \"2015\", \"condition_rate\": 0.2892857142857143}, {\"release_year\": \"2016\", \"condition_rate\": 0.270509977827051}, {\"release_year\": \"2012\", \"condition_rate\": 0.270042194092827}, {\"release_year\": \"2017\", \"condition_rate\": 0.2567829457364341}, {\"release_year\": \"2014\", \"condition_rate\": 0.25}, {\"release_year\": \"1945\", \"condition_rate\": 0.25}, {\"release_year\": \"2009\", \"condition_rate\": 0.2236842105263158}, {\"release_year\": \"2013\", \"condition_rate\": 0.21875}, {\"release_year\": \"2011\", \"condition_rate\": 0.21621621621621623}, {\"release_year\": \"2010\", \"condition_rate\": 0.20618556701030927}, {\"release_year\": \"1972\", \"condition_rate\": 0.2}, {\"release_year\": \"1967\", \"condition_rate\": 0.2}, {\"release_year\": \"1999\", \"condition_rate\": 0.1794871794871795}, {\"release_year\": \"2008\", \"condition_rate\": 0.16911764705882354}, {\"release_year\": \"2003\", \"condition_rate\": 0.16393442622950818}, {\"release_year\": \"2005\", \"condition_rate\": 0.1625}, {\"release_year\": \"2007\", \"condition_rate\": 0.1590909090909091}, {\"release_year\": \"1986\", \"condition_rate\": 0.15384615384615385}, {\"release_year\": \"2006\", \"condition_rate\": 0.14583333333333334}, {\"release_year\": \"1993\", \"condition_rate\": 0.14285714285714285}, {\"release_year\": \"1977\", \"condition_rate\": 0.14285714285714285}, {\"release_year\": \"1974\", \"condition_rate\": 0.14285714285714285}, {\"release_year\": \"2004\", \"condition_rate\": 0.140625}, {\"release_year\": \"2002\", \"condition_rate\": 0.13725490196078433}, {\"release_year\": \"1990\", \"condition_rate\": 0.13636363636363635}, {\"release_year\": \"1992\", \"condition_rate\": 0.13043478260869565}, {\"release_year\": \"1996\", \"condition_rate\": 0.125}, {\"release_year\": \"2001\", \"condition_rate\": 0.1111111111111111}, {\"release_year\": \"1998\", \"condition_rate\": 0.1111111111111111}, {\"release_year\": \"1988\", \"condition_rate\": 0.1111111111111111}, {\"release_year\": \"2000\", \"condition_rate\": 0.10810810810810811}, {\"release_year\": \"1997\", \"condition_rate\": 0.10526315789473684}, {\"release_year\": \"1985\", \"condition_rate\": 0.1}, {\"release_year\": \"1994\", \"condition_rate\": 0.09090909090909091}, {\"release_year\": \"1979\", \"condition_rate\": 0.09090909090909091}, {\"release_year\": \"1995\", \"condition_rate\": 0.08}, {\"release_year\": \"1981\", \"condition_rate\": 0.07692307692307693}, {\"release_year\": \"1989\", \"condition_rate\": 0.0625}, {\"release_year\": \"1991\", \"condition_rate\": 0.058823529411764705}, {\"release_year\": \"1987\", \"condition_rate\": 0.0}, {\"release_year\": \"1984\", \"condition_rate\": 0.0}, {\"release_year\": \"1983\", \"condition_rate\": 0.0}, {\"release_year\": \"1982\", \"condition_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6ad86595ff95ac1263a9dd9e0e26ade7eb8b4f95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:56:05.034700+00:00", + "ended_at": "2026-05-19T15:56:14.460242+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_3e0379dd71f9e74b", + "problem_id": "v2p_c17_00afd17e5ca8ef68", + "dataset_id": "c17", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=release_year, condition_col=type.", + "bindings": { + "group_col": "release_year", + "condition_col": "type", + "condition_value": "TV Show", + "positive_value": "Movie", + "negative_value": "TV Show", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_3e0379dd71f9e74b.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_3e0379dd71f9e74b", + "api_calls": 0, + "input_tokens": 14709, + "cached_input_tokens": 13696, + "output_tokens": 366, + "total_tokens": 15075, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9414.86, + "sql_execution_elapsed_ms_total": 6.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ce7a4668d0cb06c0b498b9d56cf456397b5efd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:14.452392+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9414.86, "started_at": "2026-05-19T15:56:05.036663+00:00", "ended_at": "2026-05-19T15:56:14.451556+00:00", "prompt_metrics": {"chars": 9429, "bytes_utf8": 9431, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 364, "bytes_utf8": 364, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14709, "cached_input_tokens": 13696, "output_tokens": 366, "reasoning_output_tokens": 267}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"release_year\\\",\\n AVG(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the within-release_year proportion of rows where \\\"type\\\" is 'TV Show' using the grouped condition rate template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d56291b5850ee6d8d3bb22209cce7867ec4b5abf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_3e0379dd71f9e74b", + "api_calls": 0, + "input_tokens": 14709, + "cached_input_tokens": 13696, + "output_tokens": 366, + "total_tokens": 15075, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9414.86, + "sql_execution_elapsed_ms_total": 6.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_3e0379dd71f9e74b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..84162212826d09b3c039a41d49cb9457aa181d27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=duration, measure_col=release_year. +Result preview: [{"duration": "1 Season", "total_measure": 3615738}, {"duration": "2 Seasons", "total_measure": 857340}, {"duration": "3 Seasons", "total_measure": 401524}, {"duration": "90 min", "total_measure": 306278}, {"duration": "97 min", "total_measure": 294045}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..52ccd2deeeb4af0057dd6a0e664ae76712bb0936 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c17_43f3e0b05589c349 +-- problem_id: v2p_c17_46819be5f5134667 +-- realization_mode: agent +-- source_kind: agent +SELECT "duration", SUM(CAST("release_year" AS INTEGER)) AS total_measure +FROM "c17" +GROUP BY "duration" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a20f20b41484463ce709076bf48ab423970f6c9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"duration\", SUM(CAST(\"release_year\" AS INTEGER)) AS total_measure\nFROM \"c17\"\nGROUP BY \"duration\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"duration\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"duration\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"duration\", \"total_measure\"], \"rows\": [{\"duration\": \"1 Season\", \"total_measure\": 3615738}, {\"duration\": \"2 Seasons\", \"total_measure\": 857340}, {\"duration\": \"3 Seasons\", \"total_measure\": 401524}, {\"duration\": \"90 min\", \"total_measure\": 306278}, {\"duration\": \"97 min\", \"total_measure\": 294045}, {\"duration\": \"93 min\", \"total_measure\": 293871}, {\"duration\": \"94 min\", \"total_measure\": 293826}, {\"duration\": \"91 min\", \"total_measure\": 290100}, {\"duration\": \"95 min\", \"total_measure\": 275915}, {\"duration\": \"96 min\", \"total_measure\": 261790}, {\"duration\": \"92 min\", \"total_measure\": 259953}, {\"duration\": \"102 min\", \"total_measure\": 245767}, {\"duration\": \"98 min\", \"total_measure\": 241676}, {\"duration\": \"99 min\", \"total_measure\": 237647}, {\"duration\": \"88 min\", \"total_measure\": 233624}, {\"duration\": \"101 min\", \"total_measure\": 233430}, {\"duration\": \"103 min\", \"total_measure\": 229449}, {\"duration\": \"106 min\", \"total_measure\": 223504}, {\"duration\": \"100 min\", \"total_measure\": 217541}, {\"duration\": \"89 min\", \"total_measure\": 213407}, {\"duration\": \"104 min\", \"total_measure\": 209265}, {\"duration\": \"86 min\", \"total_measure\": 207557}, {\"duration\": \"87 min\", \"total_measure\": 203583}, {\"duration\": \"105 min\", \"total_measure\": 203416}, {\"duration\": \"107 min\", \"total_measure\": 197496}, {\"duration\": \"110 min\", \"total_measure\": 195405}, {\"duration\": \"4 Seasons\", \"total_measure\": 191511}, {\"duration\": \"108 min\", \"total_measure\": 175019}, {\"duration\": \"116 min\", \"total_measure\": 160897}, {\"duration\": \"112 min\", \"total_measure\": 148867}, {\"duration\": \"85 min\", \"total_measure\": 146935}, {\"duration\": \"113 min\", \"total_measure\": 138992}, {\"duration\": \"109 min\", \"total_measure\": 138925}, {\"duration\": \"111 min\", \"total_measure\": 136893}, {\"duration\": \"84 min\", \"total_measure\": 134936}, {\"duration\": \"5 Seasons\", \"total_measure\": 131053}, {\"duration\": \"83 min\", \"total_measure\": 130953}, {\"duration\": \"118 min\", \"total_measure\": 130838}, {\"duration\": \"119 min\", \"total_measure\": 126817}, {\"duration\": \"81 min\", \"total_measure\": 124879}, {\"duration\": \"115 min\", \"total_measure\": 122832}, {\"duration\": \"117 min\", \"total_measure\": 122789}, {\"duration\": \"114 min\", \"total_measure\": 112730}, {\"duration\": \"120 min\", \"total_measure\": 112627}, {\"duration\": \"121 min\", \"total_measure\": 108615}, {\"duration\": \"82 min\", \"total_measure\": 104657}, {\"duration\": \"124 min\", \"total_measure\": 104608}, {\"duration\": \"127 min\", \"total_measure\": 96477}, {\"duration\": \"78 min\", \"total_measure\": 90693}, {\"duration\": \"122 min\", \"total_measure\": 90616}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 8.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..df586e7997a48a7c740d456ab720513566fe56eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:29:15.222889+00:00", + "ended_at": "2026-05-19T15:29:27.152275+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_43f3e0b05589c349", + "problem_id": "v2p_c17_46819be5f5134667", + "dataset_id": "c17", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=duration, measure_col=release_year.", + "bindings": { + "group_col": "duration", + "measure_col": "release_year", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_43f3e0b05589c349.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_43f3e0b05589c349", + "api_calls": 0, + "input_tokens": 14645, + "cached_input_tokens": 12032, + "output_tokens": 508, + "total_tokens": 15153, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11914.3, + "sql_execution_elapsed_ms_total": 8.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8c7d6e34537d24507ecf7004069c41d5981f69c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:27.141409+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11914.3, "started_at": "2026-05-19T15:29:15.225969+00:00", "ended_at": "2026-05-19T15:29:27.140292+00:00", "prompt_metrics": {"chars": 9177, "bytes_utf8": 9179, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 363, "bytes_utf8": 363, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14645, "cached_input_tokens": 12032, "output_tokens": 508, "reasoning_output_tokens": 416}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"duration\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"duration\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the provided grouped numeric sum template with \\\"duration\\\" as the grouping column and casts TEXT \\\"release_year\\\" to INTEGER so SQLite can sum it numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2234ae9c82b03eb5327aa8ca563eb7babd4377b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_43f3e0b05589c349", + "api_calls": 0, + "input_tokens": 14645, + "cached_input_tokens": 12032, + "output_tokens": 508, + "total_tokens": 15153, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11914.3, + "sql_execution_elapsed_ms_total": 8.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_43f3e0b05589c349/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..62ea472bb02d951d5bf9ee4162cbe79a856f4a95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=type, condition_col=type. +Result preview: [{"type": "TV Show", "condition_ratio": 0.0}, {"type": "Movie", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7571849f32e4fec7d613165993e68698ad841c45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_c17_459b53933ba802db +-- problem_id: v2p_c17_9b1b6ba3ad09a2b9 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "type", + SUM(CASE WHEN "type" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "type" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count + FROM "c17" + GROUP BY "type" +) +SELECT + "type", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0638512b3e28a0daa9fde853639119e9b2097deb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"type\",\n SUM(CASE WHEN \"type\" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"type\" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c17\"\n GROUP BY \"type\"\n)\nSELECT\n \"type\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"type\\\",\\n SUM(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c17\\\"\\n GROUP BY \\\"type\\\"\\n)\\nSELECT\\n \\\"type\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"type\", \"condition_ratio\"], \"rows\": [{\"type\": \"TV Show\", \"condition_ratio\": 0.0}, {\"type\": \"Movie\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1ba25c66d82670625970f05a7c83ac65637457ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:38:49.349804+00:00", + "ended_at": "2026-05-19T15:39:00.736044+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_459b53933ba802db", + "problem_id": "v2p_c17_9b1b6ba3ad09a2b9", + "dataset_id": "c17", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=type, condition_col=type.", + "bindings": { + "group_col": "type", + "condition_col": "type", + "condition_value": "Movie", + "positive_value": "Movie", + "negative_value": "TV Show", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=40" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_459b53933ba802db.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_459b53933ba802db", + "api_calls": 0, + "input_tokens": 14853, + "cached_input_tokens": 12032, + "output_tokens": 523, + "total_tokens": 15376, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11368.14, + "sql_execution_elapsed_ms_total": 10.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9ba4f3ef5b94338d63f41717d0aef5ce5235060c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:00.721903+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11368.14, "started_at": "2026-05-19T15:38:49.352048+00:00", "ended_at": "2026-05-19T15:39:00.720220+00:00", "prompt_metrics": {"chars": 9974, "bytes_utf8": 9976, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 755, "bytes_utf8": 755, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14853, "cached_input_tokens": 12032, "output_tokens": 523, "reasoning_output_tokens": 319}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"type\\\",\\n SUM(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c17\\\"\\n GROUP BY \\\"type\\\"\\n)\\nSELECT\\n \\\"type\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Used the provided grouped ratio template with group_col=\\\"type\\\" and condition_col=\\\"type\\\". Because the grouping column and condition column are the same, the 'Movie' group will have a zero denominator and yield NULL via NULLIF, while the 'TV Show' group will yield 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ec0618574d0f0cf09aae56cdc4e5fdcb98b7e568 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_459b53933ba802db", + "api_calls": 0, + "input_tokens": 14853, + "cached_input_tokens": 12032, + "output_tokens": 523, + "total_tokens": 15376, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11368.14, + "sql_execution_elapsed_ms_total": 10.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_459b53933ba802db/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..412acf260ec8463155b4086833385f39701277ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=duration, condition_col=type. +Result preview: [{"duration": "1 Season", "condition_ratio": 0.0}, {"duration": "10 Seasons", "condition_ratio": 0.0}, {"duration": "11 Seasons", "condition_ratio": 0.0}, {"duration": "12 Seasons", "condition_ratio": 0.0}, {"duration": "13 Seasons", "condition_ratio": 0.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..89b1ebd1e7e7e5545a92a41e5538f47ea42d5b0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_c17_45ef63916d10c988 +-- problem_id: v2p_c17_613d543c7a5eebf5 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "duration", + SUM(CASE WHEN "type" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "type" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count + FROM "c17" + GROUP BY "duration" +) +SELECT "duration", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2b99cdf6d55e2d84318fe09b131fe624a2a5cba5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"duration\",\n SUM(CASE WHEN \"type\" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"type\" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"c17\"\n GROUP BY \"duration\"\n)\nSELECT \"duration\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"duration\\\",\\n SUM(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c17\\\"\\n GROUP BY \\\"duration\\\"\\n)\\nSELECT \\\"duration\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"duration\", \"condition_ratio\"], \"rows\": [{\"duration\": \"1 Season\", \"condition_ratio\": 0.0}, {\"duration\": \"10 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"11 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"12 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"13 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"15 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"17 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"2 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"3 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"4 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"5 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"6 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"7 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"8 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"9 Seasons\", \"condition_ratio\": 0.0}, {\"duration\": \"\", \"condition_ratio\": null}, {\"duration\": \"10 min\", \"condition_ratio\": null}, {\"duration\": \"100 min\", \"condition_ratio\": null}, {\"duration\": \"101 min\", \"condition_ratio\": null}, {\"duration\": \"102 min\", \"condition_ratio\": null}, {\"duration\": \"103 min\", \"condition_ratio\": null}, {\"duration\": \"104 min\", \"condition_ratio\": null}, {\"duration\": \"105 min\", \"condition_ratio\": null}, {\"duration\": \"106 min\", \"condition_ratio\": null}, {\"duration\": \"107 min\", \"condition_ratio\": null}, {\"duration\": \"108 min\", \"condition_ratio\": null}, {\"duration\": \"109 min\", \"condition_ratio\": null}, {\"duration\": \"11 min\", \"condition_ratio\": null}, {\"duration\": \"110 min\", \"condition_ratio\": null}, {\"duration\": \"111 min\", \"condition_ratio\": null}, {\"duration\": \"112 min\", \"condition_ratio\": null}, {\"duration\": \"113 min\", \"condition_ratio\": null}, {\"duration\": \"114 min\", \"condition_ratio\": null}, {\"duration\": \"115 min\", \"condition_ratio\": null}, {\"duration\": \"116 min\", \"condition_ratio\": null}, {\"duration\": \"117 min\", \"condition_ratio\": null}, {\"duration\": \"118 min\", \"condition_ratio\": null}, {\"duration\": \"119 min\", \"condition_ratio\": null}, {\"duration\": \"12 min\", \"condition_ratio\": null}, {\"duration\": \"120 min\", \"condition_ratio\": null}, {\"duration\": \"121 min\", \"condition_ratio\": null}, {\"duration\": \"122 min\", \"condition_ratio\": null}, {\"duration\": \"123 min\", \"condition_ratio\": null}, {\"duration\": \"124 min\", \"condition_ratio\": null}, {\"duration\": \"125 min\", \"condition_ratio\": null}, {\"duration\": \"126 min\", \"condition_ratio\": null}, {\"duration\": \"127 min\", \"condition_ratio\": null}, {\"duration\": \"128 min\", \"condition_ratio\": null}, {\"duration\": \"129 min\", \"condition_ratio\": null}, {\"duration\": \"13 min\", \"condition_ratio\": null}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f71d079e4698d3da1fe392ab9bd6441106ac8c68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:38:37.051684+00:00", + "ended_at": "2026-05-19T15:38:49.349279+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_45ef63916d10c988", + "problem_id": "v2p_c17_613d543c7a5eebf5", + "dataset_id": "c17", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=duration, condition_col=type.", + "bindings": { + "group_col": "duration", + "condition_col": "type", + "condition_value": "Movie", + "positive_value": "Movie", + "negative_value": "TV Show", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=39" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_45ef63916d10c988.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_45ef63916d10c988", + "api_calls": 0, + "input_tokens": 14853, + "cached_input_tokens": 13696, + "output_tokens": 533, + "total_tokens": 15386, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12285.58, + "sql_execution_elapsed_ms_total": 6.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce17ece93a55095449560c9eab762851d0c267e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:49.341277+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12285.58, "started_at": "2026-05-19T15:38:37.054843+00:00", "ended_at": "2026-05-19T15:38:49.340457+00:00", "prompt_metrics": {"chars": 9981, "bytes_utf8": 9983, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 623, "bytes_utf8": 623, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14853, "cached_input_tokens": 13696, "output_tokens": 533, "reasoning_output_tokens": 364}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"duration\\\",\\n SUM(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"type\\\" = 'TV Show' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"c17\\\"\\n GROUP BY \\\"duration\\\"\\n)\\nSELECT \\\"duration\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes the ratio of Movie rows to TV Show rows for each duration value. Ratios are NULL when a duration group has no TV Show rows.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..93b1644871db25659c9f3dcd0d39f955a5c27796 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_45ef63916d10c988", + "api_calls": 0, + "input_tokens": 14853, + "cached_input_tokens": 13696, + "output_tokens": 533, + "total_tokens": 15386, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12285.58, + "sql_execution_elapsed_ms_total": 6.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_45ef63916d10c988/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..616aaefe46074966ca06c465cc78584d1312df78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=rating. +Result preview: [{"rating": "TV-MA", "row_count": 3207}, {"rating": "TV-14", "row_count": 2160}, {"rating": "TV-PG", "row_count": 863}, {"rating": "R", "row_count": 799}, {"rating": "PG-13", "row_count": 490}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7f6c13e4bee06e260295e1d11bae4fdeaaf1cb16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_c17_4879cfed83bcc20a +-- problem_id: v2p_c17_de76a7dc4d26c2e2 +-- realization_mode: agent +-- source_kind: agent +SELECT "rating", COUNT(*) AS "row_count" +FROM "c17" +GROUP BY "rating" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..37a0da7336b2cdafb971b69c2411bf4d817b0f9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"rating\", COUNT(*) AS \"row_count\"\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"rating\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"rating\", \"row_count\"], \"rows\": [{\"rating\": \"TV-MA\", \"row_count\": 3207}, {\"rating\": \"TV-14\", \"row_count\": 2160}, {\"rating\": \"TV-PG\", \"row_count\": 863}, {\"rating\": \"R\", \"row_count\": 799}, {\"rating\": \"PG-13\", \"row_count\": 490}, {\"rating\": \"TV-Y7\", \"row_count\": 334}, {\"rating\": \"TV-Y\", \"row_count\": 307}, {\"rating\": \"PG\", \"row_count\": 287}, {\"rating\": \"TV-G\", \"row_count\": 220}, {\"rating\": \"NR\", \"row_count\": 80}, {\"rating\": \"G\", \"row_count\": 41}, {\"rating\": \"TV-Y7-FV\", \"row_count\": 6}, {\"rating\": \"\", \"row_count\": 4}, {\"rating\": \"UR\", \"row_count\": 3}, {\"rating\": \"NC-17\", \"row_count\": 3}, {\"rating\": \"84 min\", \"row_count\": 1}, {\"rating\": \"74 min\", \"row_count\": 1}, {\"rating\": \"66 min\", \"row_count\": 1}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..113185f8eec85f9fbeb6df145814114f85057678 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:31:32.224268+00:00", + "ended_at": "2026-05-19T15:31:54.994896+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_4879cfed83bcc20a", + "problem_id": "v2p_c17_de76a7dc4d26c2e2", + "dataset_id": "c17", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=rating.", + "bindings": { + "group_col": "rating", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=14" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_4879cfed83bcc20a.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_4879cfed83bcc20a", + "api_calls": 0, + "input_tokens": 14618, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 14948, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22756.36, + "sql_execution_elapsed_ms_total": 7.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a526534154e40165b36aeeff814917629d4609d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:54.986107+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22756.36, "started_at": "2026-05-19T15:31:32.228470+00:00", "ended_at": "2026-05-19T15:31:54.984870+00:00", "prompt_metrics": {"chars": 9076, "bytes_utf8": 9078, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 260, "bytes_utf8": 260, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14618, "cached_input_tokens": 12032, "output_tokens": 330, "reasoning_output_tokens": 259}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"rating\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Grouped count of rows by the categorical column \\\"rating\\\" using the planned template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dd5bb2b807fdce3da1a61ef1d82f5fd777752589 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_4879cfed83bcc20a", + "api_calls": 0, + "input_tokens": 14618, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 14948, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22756.36, + "sql_execution_elapsed_ms_total": 7.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4879cfed83bcc20a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4c4659a6e8c12d6a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4c4659a6e8c12d6a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..402adde4a9e47925d44fe9ecb4d48685b32a6ee1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4c4659a6e8c12d6a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=release_year. +Result preview: [{"empirical_cdf_at_threshold": 0.8245713636879755}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4c4659a6e8c12d6a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4c4659a6e8c12d6a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..124a7e86113593b7193bcf9bac977c770d77e360 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4c4659a6e8c12d6a/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_c17_4c4659a6e8c12d6a +-- problem_id: v2p_c17_3089489cc466d330 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST(NULLIF("release_year", '') AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold +FROM "c17"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4c4659a6e8c12d6a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4c4659a6e8c12d6a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..96153937a4cb09751bcc40df233b3e43c20a53ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_4c4659a6e8c12d6a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:56.996695+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": 4180.43, "started_at": "2026-05-19T15:57:52.815529+00:00", "ended_at": "2026-05-19T15:57:56.995982+00:00", "prompt_metrics": {"chars": 9115, "bytes_utf8": 9117, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-3822-79e0-9437-a5f05a9ec39d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:09.142438+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": 11143.81, "started_at": "2026-05-19T15:57:57.997700+00:00", "ended_at": "2026-05-19T15:58:09.141554+00:00", "prompt_metrics": {"chars": 9115, "bytes_utf8": 9117, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14636, "cached_input_tokens": 13696, "output_tokens": 479, "reasoning_output_tokens": 374}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(NULLIF(\\\"release_year\\\", '') AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"c17\\\";\",\"notes\":\"Used the provided Threshold Rarity CDF template on \\\"release_year\\\" and cast the text field to REAL so the threshold comparison is numeric; empty strings are excluded from matching by NULLIF.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e23c632e5726830e3caf9e17612c9c7ead2e6383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=type, group_col_2=release_year. +Result preview: [{"type": "Movie", "release_year": "2017", "row_count": 767}, {"type": "Movie", "release_year": "2018", "row_count": 767}, {"type": "Movie", "release_year": "2016", "row_count": 658}, {"type": "Movie", "release_year": "2019", "row_count": 633}, {"type": "Movie", "release_year": "2020", "row_count": 517}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..22b33d55ce2fff996aa49a2ccc355d8fa7242706 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_c17_57f468193c4fc1ae +-- problem_id: v2p_c17_4294aa5953f1eacf +-- realization_mode: agent +-- source_kind: agent +SELECT "type", "release_year", COUNT(*) AS "row_count" +FROM "c17" +WHERE "type" = 'Movie' +GROUP BY "type", "release_year" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11c4ca9704c403d8caa7b6c24d8d265a17bb0e90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"type\", \"release_year\", COUNT(*) AS \"row_count\"\nFROM \"c17\"\nWHERE \"type\" = 'Movie'\nGROUP BY \"type\", \"release_year\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"type\\\", \\\"release_year\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"type\\\" = 'Movie'\\nGROUP BY \\\"type\\\", \\\"release_year\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"type\", \"release_year\", \"row_count\"], \"rows\": [{\"type\": \"Movie\", \"release_year\": \"2017\", \"row_count\": 767}, {\"type\": \"Movie\", \"release_year\": \"2018\", \"row_count\": 767}, {\"type\": \"Movie\", \"release_year\": \"2016\", \"row_count\": 658}, {\"type\": \"Movie\", \"release_year\": \"2019\", \"row_count\": 633}, {\"type\": \"Movie\", \"release_year\": \"2020\", \"row_count\": 517}, {\"type\": \"Movie\", \"release_year\": \"2015\", \"row_count\": 398}, {\"type\": \"Movie\", \"release_year\": \"2021\", \"row_count\": 277}, {\"type\": \"Movie\", \"release_year\": \"2014\", \"row_count\": 264}, {\"type\": \"Movie\", \"release_year\": \"2013\", \"row_count\": 225}, {\"type\": \"Movie\", \"release_year\": \"2012\", \"row_count\": 173}, {\"type\": \"Movie\", \"release_year\": \"2010\", \"row_count\": 154}, {\"type\": \"Movie\", \"release_year\": \"2011\", \"row_count\": 145}, {\"type\": \"Movie\", \"release_year\": \"2009\", \"row_count\": 118}, {\"type\": \"Movie\", \"release_year\": \"2008\", \"row_count\": 113}, {\"type\": \"Movie\", \"release_year\": \"2006\", \"row_count\": 82}, {\"type\": \"Movie\", \"release_year\": \"2007\", \"row_count\": 74}, {\"type\": \"Movie\", \"release_year\": \"2005\", \"row_count\": 67}, {\"type\": \"Movie\", \"release_year\": \"2004\", \"row_count\": 55}, {\"type\": \"Movie\", \"release_year\": \"2003\", \"row_count\": 51}, {\"type\": \"Movie\", \"release_year\": \"2002\", \"row_count\": 44}, {\"type\": \"Movie\", \"release_year\": \"2001\", \"row_count\": 40}, {\"type\": \"Movie\", \"release_year\": \"1997\", \"row_count\": 34}, {\"type\": \"Movie\", \"release_year\": \"2000\", \"row_count\": 33}, {\"type\": \"Movie\", \"release_year\": \"1998\", \"row_count\": 32}, {\"type\": \"Movie\", \"release_year\": \"1999\", \"row_count\": 32}, {\"type\": \"Movie\", \"release_year\": \"1993\", \"row_count\": 24}, {\"type\": \"Movie\", \"release_year\": \"1995\", \"row_count\": 23}, {\"type\": \"Movie\", \"release_year\": \"1996\", \"row_count\": 21}, {\"type\": \"Movie\", \"release_year\": \"1992\", \"row_count\": 20}, {\"type\": \"Movie\", \"release_year\": \"1994\", \"row_count\": 20}, {\"type\": \"Movie\", \"release_year\": \"1990\", \"row_count\": 19}, {\"type\": \"Movie\", \"release_year\": \"1982\", \"row_count\": 17}, {\"type\": \"Movie\", \"release_year\": \"1988\", \"row_count\": 16}, {\"type\": \"Movie\", \"release_year\": \"1991\", \"row_count\": 16}, {\"type\": \"Movie\", \"release_year\": \"1989\", \"row_count\": 15}, {\"type\": \"Movie\", \"release_year\": \"1981\", \"row_count\": 12}, {\"type\": \"Movie\", \"release_year\": \"1984\", \"row_count\": 12}, {\"type\": \"Movie\", \"release_year\": \"1980\", \"row_count\": 11}, {\"type\": \"Movie\", \"release_year\": \"1983\", \"row_count\": 11}, {\"type\": \"Movie\", \"release_year\": \"1986\", \"row_count\": 11}, {\"type\": \"Movie\", \"release_year\": \"1973\", \"row_count\": 10}, {\"type\": \"Movie\", \"release_year\": \"1979\", \"row_count\": 10}, {\"type\": \"Movie\", \"release_year\": \"1976\", \"row_count\": 9}, {\"type\": \"Movie\", \"release_year\": \"1985\", \"row_count\": 9}, {\"type\": \"Movie\", \"release_year\": \"1987\", \"row_count\": 8}, {\"type\": \"Movie\", \"release_year\": \"1975\", \"row_count\": 7}, {\"type\": \"Movie\", \"release_year\": \"1978\", \"row_count\": 7}, {\"type\": \"Movie\", \"release_year\": \"1974\", \"row_count\": 6}, {\"type\": \"Movie\", \"release_year\": \"1977\", \"row_count\": 6}, {\"type\": \"Movie\", \"release_year\": \"1971\", \"row_count\": 5}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fa083fb3ba8fd893605f404b9fed245081992f14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:39:28.874859+00:00", + "ended_at": "2026-05-19T15:39:39.601576+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_57f468193c4fc1ae", + "problem_id": "v2p_c17_4294aa5953f1eacf", + "dataset_id": "c17", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=type, group_col_2=release_year.", + "bindings": { + "group_col": "type", + "group_col_2": "release_year", + "predicate_col": "type", + "predicate_op": "=", + "predicate_value": "Movie", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=48" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_57f468193c4fc1ae.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_57f468193c4fc1ae", + "api_calls": 0, + "input_tokens": 14736, + "cached_input_tokens": 13696, + "output_tokens": 395, + "total_tokens": 15131, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10713.81, + "sql_execution_elapsed_ms_total": 6.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d33ed191ae885ca8e515ce582d429cc06f3d9c64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:39.594165+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10713.81, "started_at": "2026-05-19T15:39:28.879553+00:00", "ended_at": "2026-05-19T15:39:39.593400+00:00", "prompt_metrics": {"chars": 9479, "bytes_utf8": 9481, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 428, "bytes_utf8": 428, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14736, "cached_input_tokens": 13696, "output_tokens": 395, "reasoning_output_tokens": 277}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"type\\\", \\\"release_year\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"type\\\" = 'Movie'\\nGROUP BY \\\"type\\\", \\\"release_year\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the required template with bound roles group_col=\\\"type\\\", group_col_2=\\\"release_year\\\", and predicate \\\"type\\\" = 'Movie'. The \\\"type\\\" column will be constant within the filtered result.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0c271d75fae19e39a2c1ce3cfaf717c147b2f698 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_57f468193c4fc1ae", + "api_calls": 0, + "input_tokens": 14736, + "cached_input_tokens": 13696, + "output_tokens": 395, + "total_tokens": 15131, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10713.81, + "sql_execution_elapsed_ms_total": 6.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_57f468193c4fc1ae/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b88afe5c718de52302cfcf37eb6e2b2355f4f2a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=type. +Result preview: [{"type": "TV Show", "support": 2676}, {"type": "Movie", "support": 6131}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a95111ff2a9c76ba76df42e9b2ebf529741dd5d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_c17_58c02351608569f8 +-- problem_id: v2p_c17_76ed1062f59373b5 +-- realization_mode: agent +-- source_kind: agent +SELECT + "type", + COUNT(*) AS support +FROM "c17" +GROUP BY "type" +ORDER BY support ASC, "type" +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..289a3722638cf18dbd7c567181564b3453fc2b9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"type\",\n COUNT(*) AS support\nFROM \"c17\"\nGROUP BY \"type\"\nORDER BY support ASC, \"type\"\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"type\\\",\\n COUNT(*) AS support\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY support ASC, \\\"type\\\"\\nLIMIT 14;\", \"columns\": [\"type\", \"support\"], \"rows\": [{\"type\": \"TV Show\", \"support\": 2676}, {\"type\": \"Movie\", \"support\": 6131}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d1d909a85484c472bcb82825d7519508ce687a00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:59:25.455061+00:00", + "ended_at": "2026-05-19T15:59:35.981430+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_58c02351608569f8", + "problem_id": "v2p_c17_76ed1062f59373b5", + "dataset_id": "c17", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=type.", + "bindings": { + "group_col": "type", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_58c02351608569f8.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_58c02351608569f8", + "api_calls": 0, + "input_tokens": 14656, + "cached_input_tokens": 12032, + "output_tokens": 199, + "total_tokens": 14855, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9514.5, + "sql_execution_elapsed_ms_total": 5.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c7b408508d076f4803674959eb62b9cf5fafa97a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:28.189495+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": 2731.25, "started_at": "2026-05-19T15:59:25.457007+00:00", "ended_at": "2026-05-19T15:59:28.188288+00:00", "prompt_metrics": {"chars": 9151, "bytes_utf8": 9153, "lines": 238, "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\":\"019e40f6-a20c-7331-bf0f-3e5c87cdac3b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:59:35.974624+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": 6783.25, "started_at": "2026-05-19T15:59:29.190361+00:00", "ended_at": "2026-05-19T15:59:35.973642+00:00", "prompt_metrics": {"chars": 9151, "bytes_utf8": 9153, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 293, "bytes_utf8": 293, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14656, "cached_input_tokens": 12032, "output_tokens": 199, "reasoning_output_tokens": 112}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"type\\\",\\n COUNT(*) AS support\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY support ASC, \\\"type\\\"\\nLIMIT 14;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"type\\\" and top_k=14.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ad09649eabb2dc95661e8a732a23379e030b1c97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_58c02351608569f8", + "api_calls": 0, + "input_tokens": 14656, + "cached_input_tokens": 12032, + "output_tokens": 199, + "total_tokens": 14855, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9514.5, + "sql_execution_elapsed_ms_total": 5.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_58c02351608569f8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..59498e88bcf763bb95a813845dc35aea65e19a0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=release_year, measure_col=release_year. +Result preview: [{"release_year": "2018", "group_value": 2314646.0}, {"release_year": "2017", "group_value": 2081544.0}, {"release_year": "2019", "group_value": 2079570.0}, {"release_year": "2020", "group_value": 1925060.0}, {"release_year": "2016", "group_value": 1818432.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b0a342fc3db72b2d55646487c67e6e1157fdede3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c17_5c8aa7ad2b2466e6 +-- problem_id: v2p_c17_989bf391761102fc +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "release_year", SUM(CAST("release_year" AS REAL)) AS group_value + FROM "c17" + GROUP BY "release_year" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."release_year", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2bee047104be9e3423a998b4c5ea32e221f06787 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"release_year\", SUM(CAST(\"release_year\" AS REAL)) AS group_value\n FROM \"c17\"\n GROUP BY \"release_year\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"release_year\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"release_year\\\", SUM(CAST(\\\"release_year\\\" AS REAL)) AS group_value\\n FROM \\\"c17\\\"\\n GROUP BY \\\"release_year\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"release_year\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"release_year\", \"group_value\"], \"rows\": [{\"release_year\": \"2018\", \"group_value\": 2314646.0}, {\"release_year\": \"2017\", \"group_value\": 2081544.0}, {\"release_year\": \"2019\", \"group_value\": 2079570.0}, {\"release_year\": \"2020\", \"group_value\": 1925060.0}, {\"release_year\": \"2016\", \"group_value\": 1818432.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..836b5bf2d46681d0829d7753756e7c66c44a0d36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:43:32.249343+00:00", + "ended_at": "2026-05-19T15:43:49.542268+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_5c8aa7ad2b2466e6", + "problem_id": "v2p_c17_989bf391761102fc", + "dataset_id": "c17", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=release_year, measure_col=release_year.", + "bindings": { + "group_col": "release_year", + "measure_col": "release_year", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=73" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_5c8aa7ad2b2466e6.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_5c8aa7ad2b2466e6", + "api_calls": 0, + "input_tokens": 14785, + "cached_input_tokens": 12032, + "output_tokens": 489, + "total_tokens": 15274, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17277.98, + "sql_execution_elapsed_ms_total": 7.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9ecefa9ce553925b9b3446c67476678f4d22ac5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:49.532267+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17277.98, "started_at": "2026-05-19T15:43:32.253443+00:00", "ended_at": "2026-05-19T15:43:49.531460+00:00", "prompt_metrics": {"chars": 9741, "bytes_utf8": 9743, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 663, "bytes_utf8": 663, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14785, "cached_input_tokens": 12032, "output_tokens": 489, "reasoning_output_tokens": 319}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"release_year\\\", SUM(CAST(\\\"release_year\\\" AS REAL)) AS group_value\\n FROM \\\"c17\\\"\\n GROUP BY \\\"release_year\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"release_year\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"release_year\\\" and measure_col=\\\"release_year\\\". CAST was added because \\\"release_year\\\" is stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d1baf3d718577495ddb0d2fa9f55a92c672d7c69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_5c8aa7ad2b2466e6", + "api_calls": 0, + "input_tokens": 14785, + "cached_input_tokens": 12032, + "output_tokens": 489, + "total_tokens": 15274, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17277.98, + "sql_execution_elapsed_ms_total": 7.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5c8aa7ad2b2466e6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..90cc1dd3f773d79e4465fe08d5794dcf6c2bf17a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=type, measure_col=release_year. +Result preview: [{"type": "TV Show", "avg_measure": 2016.605754857997}, {"type": "Movie", "avg_measure": 2013.1215136193116}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bc700d6ccbd21bb6499bdbff86aa91ea72e5a7c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_c17_5e87cafbbac99abe +-- problem_id: v2p_c17_b2a70ec0bebe31d2 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "type", + AVG(CAST("release_year" AS REAL)) OVER (PARTITION BY "type") AS "avg_measure" +FROM "c17" +WHERE "type" IS NOT NULL + AND "type" <> '' + AND "release_year" IS NOT NULL + AND "release_year" <> '' +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dcd3e91f6ed46215ae035d35b02231a7a75b11e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"type\",\n AVG(CAST(\"release_year\" AS REAL)) OVER (PARTITION BY \"type\") AS \"avg_measure\"\nFROM \"c17\"\nWHERE \"type\" IS NOT NULL\n AND \"type\" <> ''\n AND \"release_year\" IS NOT NULL\n AND \"release_year\" <> ''\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"type\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"type\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"type\\\" IS NOT NULL\\n AND \\\"type\\\" <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND \\\"release_year\\\" <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"type\", \"avg_measure\"], \"rows\": [{\"type\": \"TV Show\", \"avg_measure\": 2016.605754857997}, {\"type\": \"Movie\", \"avg_measure\": 2013.1215136193116}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 39.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2b276b881f9e12a7a96f732eaa0939143a52b1f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:00:26.330882+00:00", + "ended_at": "2026-05-19T16:00:38.566548+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_5e87cafbbac99abe", + "problem_id": "v2p_c17_b2a70ec0bebe31d2", + "dataset_id": "c17", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=type, measure_col=release_year.", + "bindings": { + "group_col": "type", + "measure_col": "release_year", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_5e87cafbbac99abe.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_5e87cafbbac99abe", + "api_calls": 0, + "input_tokens": 14657, + "cached_input_tokens": 12032, + "output_tokens": 463, + "total_tokens": 15120, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12187.64, + "sql_execution_elapsed_ms_total": 39.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a08f3bcf4fe6d9316391d5543812f9e9ceb1e842 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:38.524178+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12187.64, "started_at": "2026-05-19T16:00:26.335603+00:00", "ended_at": "2026-05-19T16:00:38.523288+00:00", "prompt_metrics": {"chars": 9256, "bytes_utf8": 9258, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 608, "bytes_utf8": 608, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14657, "cached_input_tokens": 12032, "output_tokens": 463, "reasoning_output_tokens": 305}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"type\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"type\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"type\\\" IS NOT NULL\\n AND \\\"type\\\" <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND \\\"release_year\\\" <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the required Window Partition Average template with group_col=\\\"type\\\" and measure_col=\\\"release_year\\\". Added filtering for empty/null grouping and measure values to form a stable view, and cast \\\"release_year\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..66c107ad74c443efda67cdf60a92c0e8c6c21582 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_5e87cafbbac99abe", + "api_calls": 0, + "input_tokens": 14657, + "cached_input_tokens": 12032, + "output_tokens": 463, + "total_tokens": 15120, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12187.64, + "sql_execution_elapsed_ms_total": 39.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_5e87cafbbac99abe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cb754049483b0445681fb1d3e69042a95922095 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=duration, measure_col=release_year. +Result preview: [{"duration": "1 Season", "group_value": 3615738}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c56651242f8e51d849c636d6ea3d0ba4fd98d5e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c17_690010ae3669afeb +-- problem_id: v2p_c17_66416db6c5fa6fb4 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "duration", SUM(CAST("release_year" AS INTEGER)) AS group_value + FROM "c17" + WHERE "duration" IS NOT NULL + AND "duration" <> '' + AND "release_year" IS NOT NULL + AND "release_year" <> '' + GROUP BY "duration" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."duration", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8dfe7ac4d1a0c8ab5ddcf1338a302e0694d9e1bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"duration\", SUM(CAST(\"release_year\" AS INTEGER)) AS group_value\n FROM \"c17\"\n WHERE \"duration\" IS NOT NULL\n AND \"duration\" <> ''\n AND \"release_year\" IS NOT NULL\n AND \"release_year\" <> ''\n GROUP BY \"duration\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"duration\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"duration\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS group_value\\n FROM \\\"c17\\\"\\n WHERE \\\"duration\\\" IS NOT NULL\\n AND \\\"duration\\\" <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND \\\"release_year\\\" <> ''\\n GROUP BY \\\"duration\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"duration\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"duration\", \"group_value\"], \"rows\": [{\"duration\": \"1 Season\", \"group_value\": 3615738}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.73}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4c9c31404c286e49f6397252ac5c615088c7c4c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:46:44.042554+00:00", + "ended_at": "2026-05-19T15:46:56.454615+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_690010ae3669afeb", + "problem_id": "v2p_c17_66416db6c5fa6fb4", + "dataset_id": "c17", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=duration, measure_col=release_year.", + "bindings": { + "group_col": "duration", + "measure_col": "release_year", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_690010ae3669afeb.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_690010ae3669afeb", + "api_calls": 0, + "input_tokens": 14783, + "cached_input_tokens": 13696, + "output_tokens": 659, + "total_tokens": 15442, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12399.41, + "sql_execution_elapsed_ms_total": 6.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..58befde1dc2d3fb2e61f835b2f3d8a770c6085e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:56.446080+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12399.41, "started_at": "2026-05-19T15:46:44.045748+00:00", "ended_at": "2026-05-19T15:46:56.445198+00:00", "prompt_metrics": {"chars": 9733, "bytes_utf8": 9735, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 789, "bytes_utf8": 789, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14783, "cached_input_tokens": 13696, "output_tokens": 659, "reasoning_output_tokens": 460}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"duration\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS group_value\\n FROM \\\"c17\\\"\\n WHERE \\\"duration\\\" IS NOT NULL\\n AND \\\"duration\\\" <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND \\\"release_year\\\" <> ''\\n GROUP BY \\\"duration\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"duration\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"duration\\\" and measure_col=\\\"release_year\\\", casting release_year to INTEGER for SQLite aggregation and filtering out empty values for a stable grouped view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d910fd5a4d605ecab4704f71eead39d20fbfe6ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_690010ae3669afeb", + "api_calls": 0, + "input_tokens": 14783, + "cached_input_tokens": 13696, + "output_tokens": 659, + "total_tokens": 15442, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12399.41, + "sql_execution_elapsed_ms_total": 6.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_690010ae3669afeb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4732867995187a67b8708a66e034aad9309369f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=type, measure_col=release_year. +Result preview: [{"type": "TV Show", "avg_measure": 2016.605754857997}, {"type": "Movie", "avg_measure": 2013.1215136193116}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6a3559b23c5aa432817ca552823044d37f451a43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_c17_694043cb08f9b445 +-- problem_id: v2p_c17_38ee99cb2488f64f +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "type", + AVG(CAST("release_year" AS REAL)) OVER (PARTITION BY "type") AS avg_measure +FROM "c17" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a193810e14c056e3880c8122c341e06191e2fffe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"type\",\n AVG(CAST(\"release_year\" AS REAL)) OVER (PARTITION BY \"type\") AS avg_measure\nFROM \"c17\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"type\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"type\\\") AS avg_measure\\nFROM \\\"c17\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"type\", \"avg_measure\"], \"rows\": [{\"type\": \"TV Show\", \"avg_measure\": 2016.605754857997}, {\"type\": \"Movie\", \"avg_measure\": 2013.1215136193116}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 16.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2a4e1d8d25fd0cf4c1a72e487bdbc679fde9fd0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:00:38.567584+00:00", + "ended_at": "2026-05-19T16:00:52.633649+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_694043cb08f9b445", + "problem_id": "v2p_c17_38ee99cb2488f64f", + "dataset_id": "c17", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=type, measure_col=release_year.", + "bindings": { + "group_col": "type", + "measure_col": "release_year", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2018.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_694043cb08f9b445.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_694043cb08f9b445", + "api_calls": 0, + "input_tokens": 14656, + "cached_input_tokens": 12032, + "output_tokens": 309, + "total_tokens": 14965, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13040.73, + "sql_execution_elapsed_ms_total": 16.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8afdd4361479541ca04b93cf24a1b5eeffb5d1e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:41.449710+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": 2877.69, "started_at": "2026-05-19T16:00:38.570941+00:00", "ended_at": "2026-05-19T16:00:41.448671+00:00", "prompt_metrics": {"chars": 9255, "bytes_utf8": 9257, "lines": 240, "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\":\"019e40f7-bfac-78e2-b685-f62281de90a8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:00:52.615818+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": 10163.04, "started_at": "2026-05-19T16:00:42.451971+00:00", "ended_at": "2026-05-19T16:00:52.615073+00:00", "prompt_metrics": {"chars": 9255, "bytes_utf8": 9257, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 398, "bytes_utf8": 398, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14656, "cached_input_tokens": 12032, "output_tokens": 309, "reasoning_output_tokens": 208}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"type\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"type\\\") AS avg_measure\\nFROM \\\"c17\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the provided Window Partition Average template with group_col=\\\"type\\\" and measure_col=\\\"release_year\\\". Cast \\\"release_year\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a722867c69304aa19edb0502e2da9bcbd9f37dbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_694043cb08f9b445", + "api_calls": 0, + "input_tokens": 14656, + "cached_input_tokens": 12032, + "output_tokens": 309, + "total_tokens": 14965, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13040.73, + "sql_execution_elapsed_ms_total": 16.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_694043cb08f9b445/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..59a9bcd4b304461d9cce29481f7bdbd2ed78b832 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1 Season", "support": 1793, "support_share": 0.20358805495628476, "cumulative_support": 1793}, {"value_label": "2 Seasons", "support": 425, "support_share": 0.0482570682411718, "cumulative_support": 2218}, {"value_label": "3 Seasons", "support": 199, "support_share": 0.022595662541160442, "cumulative_support": 2417}, {"value_label": "90 min", "support": 152, "support_share": 0.01725899852390144, "cumulative_support": 2569}, {"value_label": "93 min", "support": 146, "support_share": 0.016577722266379016, "cumulative_support": 2715}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d65d2ae8d443fef50de90dad742eba5a82ed054c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_c17_6af8d0a96e4a24b8 +-- problem_id: v2p_c17_f98c10ce856fc7ce +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "duration" AS value_label, COUNT(*) AS support + FROM "c17" + GROUP BY "duration" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..76ff6192e3ae7254e1c60e846645e90285f145c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c17\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_c17_6af8d0a96e4a24b8\n-- problem_id: v2p_c17_f98c10ce856fc7ce\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"duration\" AS value_label, COUNT(*) AS support\n FROM \"c17\"\n GROUP BY \"duration\"\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_b\\n-- sql_source_dataset_id: c17\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_c17_6af8d0a96e4a24b8\\n-- problem_id: v2p_c17_f98c10ce856fc7ce\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"duration\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"c17\\\"\\n GROUP BY \\\"duration\\\"\\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\": \"1 Season\", \"support\": 1793, \"support_share\": 0.20358805495628476, \"cumulative_support\": 1793}, {\"value_label\": \"2 Seasons\", \"support\": 425, \"support_share\": 0.0482570682411718, \"cumulative_support\": 2218}, {\"value_label\": \"3 Seasons\", \"support\": 199, \"support_share\": 0.022595662541160442, \"cumulative_support\": 2417}, {\"value_label\": \"90 min\", \"support\": 152, \"support_share\": 0.01725899852390144, \"cumulative_support\": 2569}, {\"value_label\": \"93 min\", \"support\": 146, \"support_share\": 0.016577722266379016, \"cumulative_support\": 2715}, {\"value_label\": \"94 min\", \"support\": 146, \"support_share\": 0.016577722266379016, \"cumulative_support\": 2861}, {\"value_label\": \"97 min\", \"support\": 146, \"support_share\": 0.016577722266379016, \"cumulative_support\": 3007}, {\"value_label\": \"91 min\", \"support\": 144, \"support_share\": 0.016350630180538207, \"cumulative_support\": 3151}, {\"value_label\": \"95 min\", \"support\": 137, \"support_share\": 0.015555807880095378, \"cumulative_support\": 3288}, {\"value_label\": \"96 min\", \"support\": 130, \"support_share\": 0.014760985579652549, \"cumulative_support\": 3418}, {\"value_label\": \"92 min\", \"support\": 129, \"support_share\": 0.014647439536732145, \"cumulative_support\": 3547}, {\"value_label\": \"102 min\", \"support\": 122, \"support_share\": 0.013852617236289316, \"cumulative_support\": 3669}, {\"value_label\": \"98 min\", \"support\": 120, \"support_share\": 0.013625525150448507, \"cumulative_support\": 3789}, {\"value_label\": \"99 min\", \"support\": 118, \"support_share\": 0.013398433064607699, \"cumulative_support\": 3907}, {\"value_label\": \"101 min\", \"support\": 116, \"support_share\": 0.01317134097876689, \"cumulative_support\": 4023}, {\"value_label\": \"88 min\", \"support\": 116, \"support_share\": 0.01317134097876689, \"cumulative_support\": 4139}, {\"value_label\": \"103 min\", \"support\": 114, \"support_share\": 0.012944248892926082, \"cumulative_support\": 4253}, {\"value_label\": \"106 min\", \"support\": 111, \"support_share\": 0.012603610764164868, \"cumulative_support\": 4364}, {\"value_label\": \"100 min\", \"support\": 108, \"support_share\": 0.012262972635403655, \"cumulative_support\": 4472}, {\"value_label\": \"89 min\", \"support\": 106, \"support_share\": 0.012035880549562847, \"cumulative_support\": 4578}, {\"value_label\": \"104 min\", \"support\": 104, \"support_share\": 0.011808788463722039, \"cumulative_support\": 4682}, {\"value_label\": \"86 min\", \"support\": 103, \"support_share\": 0.011695242420801635, \"cumulative_support\": 4785}, {\"value_label\": \"105 min\", \"support\": 101, \"support_share\": 0.011468150334960826, \"cumulative_support\": 4886}, {\"value_label\": \"87 min\", \"support\": 101, \"support_share\": 0.011468150334960826, \"cumulative_support\": 4987}, {\"value_label\": \"107 min\", \"support\": 98, \"support_share\": 0.011127512206199614, \"cumulative_support\": 5085}, {\"value_label\": \"110 min\", \"support\": 97, \"support_share\": 0.01101396616327921, \"cumulative_support\": 5182}, {\"value_label\": \"4 Seasons\", \"support\": 95, \"support_share\": 0.010786874077438401, \"cumulative_support\": 5277}, {\"value_label\": \"108 min\", \"support\": 87, \"support_share\": 0.009878505734075168, \"cumulative_support\": 5364}, {\"value_label\": \"116 min\", \"support\": 80, \"support_share\": 0.009083683433632339, \"cumulative_support\": 5444}, {\"value_label\": \"112 min\", \"support\": 74, \"support_share\": 0.008402407176109912, \"cumulative_support\": 5518}, {\"value_label\": \"85 min\", \"support\": 73, \"support_share\": 0.008288861133189508, \"cumulative_support\": 5591}, {\"value_label\": \"109 min\", \"support\": 69, \"support_share\": 0.007834676961507891, \"cumulative_support\": 5660}, {\"value_label\": \"113 min\", \"support\": 69, \"support_share\": 0.007834676961507891, \"cumulative_support\": 5729}, {\"value_label\": \"111 min\", \"support\": 68, \"support_share\": 0.007721130918587487, \"cumulative_support\": 5797}, {\"value_label\": \"84 min\", \"support\": 67, \"support_share\": 0.007607584875667083, \"cumulative_support\": 5864}, {\"value_label\": \"118 min\", \"support\": 65, \"support_share\": 0.0073804927898262745, \"cumulative_support\": 5929}, {\"value_label\": \"5 Seasons\", \"support\": 65, \"support_share\": 0.0073804927898262745, \"cumulative_support\": 5994}, {\"value_label\": \"83 min\", \"support\": 65, \"support_share\": 0.0073804927898262745, \"cumulative_support\": 6059}, {\"value_label\": \"119 min\", \"support\": 63, \"support_share\": 0.007153400703985466, \"cumulative_support\": 6122}, {\"value_label\": \"81 min\", \"support\": 62, \"support_share\": 0.007039854661065062, \"cumulative_support\": 6184}, {\"value_label\": \"115 min\", \"support\": 61, \"support_share\": 0.006926308618144658, \"cumulative_support\": 6245}, {\"value_label\": \"117 min\", \"support\": 61, \"support_share\": 0.006926308618144658, \"cumulative_support\": 6306}, {\"value_label\": \"114 min\", \"support\": 56, \"support_share\": 0.006358578403542637, \"cumulative_support\": 6362}, {\"value_label\": \"120 min\", \"support\": 56, \"support_share\": 0.006358578403542637, \"cumulative_support\": 6418}, {\"value_label\": \"121 min\", \"support\": 54, \"support_share\": 0.006131486317701828, \"cumulative_support\": 6472}, {\"value_label\": \"124 min\", \"support\": 52, \"support_share\": 0.005904394231861019, \"cumulative_support\": 6524}, {\"value_label\": \"82 min\", \"support\": 52, \"support_share\": 0.005904394231861019, \"cumulative_support\": 6576}, {\"value_label\": \"127 min\", \"support\": 48, \"support_share\": 0.005450210060179403, \"cumulative_support\": 6624}, {\"value_label\": \"122 min\", \"support\": 45, \"support_share\": 0.00510957193141819, \"cumulative_support\": 6669}, {\"value_label\": \"78 min\", \"support\": 45, \"support_share\": 0.00510957193141819, \"cumulative_support\": 6714}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b430908654f728f2e34cc6605adae290afae91dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:03:15.447590+00:00", + "ended_at": "2026-05-19T16:03:15.453404+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_6af8d0a96e4a24b8", + "problem_id": "v2p_c17_f98c10ce856fc7ce", + "dataset_id": "c17", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=duration.", + "bindings": { + "group_col": "duration" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_6af8d0a96e4a24b8.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6af8d0a96e4a24b8/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b58b58c2cf6f0256121ff987756daed82af4a614 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=rating, measure_col=release_year. +Result preview: [{"rating": "UR", "duration": "103 min", "total_measure": 3990, "share_within_group": 66.52217405801935}, {"rating": "UR", "duration": "113 min", "total_measure": 2008, "share_within_group": 33.47782594198066}, {"rating": "NC-17", "duration": "83 min", "total_measure": 2018, "share_within_group": 33.38296112489661}, {"rating": "NC-17", "duration": "112 min", "total_measure": 2014, "share_within_group": 33.31679073614558}, {"rating": "NC-17", "duration": "180 min", "total_measure": 2013, "share_within_group": 33.30024813895782}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0464b33658539c15a1efc61587048af700b154f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c17_6c869e5af9040f06 +-- problem_id: v2p_c17_2d654c62d943d364 +-- realization_mode: agent +-- source_kind: agent +SELECT + "rating", + "duration", + SUM(CAST("release_year" AS INTEGER)) AS total_measure, + SUM(CAST("release_year" AS INTEGER)) * 100.0 / SUM(SUM(CAST("release_year" AS INTEGER))) OVER (PARTITION BY "rating") AS share_within_group +FROM "c17" +WHERE "rating" IS NOT NULL + AND "rating" <> '' + AND "duration" IS NOT NULL + AND "duration" <> '' + AND "release_year" IS NOT NULL + AND "release_year" <> '' +GROUP BY "rating", "duration" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..09208949ff94eddd2e74a2148daad89372f72b24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"rating\",\n \"duration\",\n SUM(CAST(\"release_year\" AS INTEGER)) AS total_measure,\n SUM(CAST(\"release_year\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\"release_year\" AS INTEGER))) OVER (PARTITION BY \"rating\") AS share_within_group\nFROM \"c17\"\nWHERE \"rating\" IS NOT NULL\n AND \"rating\" <> ''\n AND \"duration\" IS NOT NULL\n AND \"duration\" <> ''\n AND \"release_year\" IS NOT NULL\n AND \"release_year\" <> ''\nGROUP BY \"rating\", \"duration\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"rating\\\",\\n \\\"duration\\\",\\n SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure,\\n SUM(CAST(\\\"release_year\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS INTEGER))) OVER (PARTITION BY \\\"rating\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nWHERE \\\"rating\\\" IS NOT NULL\\n AND \\\"rating\\\" <> ''\\n AND \\\"duration\\\" IS NOT NULL\\n AND \\\"duration\\\" <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND \\\"release_year\\\" <> ''\\nGROUP BY \\\"rating\\\", \\\"duration\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"rating\", \"duration\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"rating\": \"UR\", \"duration\": \"103 min\", \"total_measure\": 3990, \"share_within_group\": 66.52217405801935}, {\"rating\": \"UR\", \"duration\": \"113 min\", \"total_measure\": 2008, \"share_within_group\": 33.47782594198066}, {\"rating\": \"NC-17\", \"duration\": \"83 min\", \"total_measure\": 2018, \"share_within_group\": 33.38296112489661}, {\"rating\": \"NC-17\", \"duration\": \"112 min\", \"total_measure\": 2014, \"share_within_group\": 33.31679073614558}, {\"rating\": \"NC-17\", \"duration\": \"180 min\", \"total_measure\": 2013, \"share_within_group\": 33.30024813895782}, {\"rating\": \"TV-Y\", \"duration\": \"1 Season\", \"total_measure\": 181495, \"share_within_group\": 29.30798943268504}, {\"rating\": \"TV-Y7\", \"duration\": \"1 Season\", \"total_measure\": 189292, \"share_within_group\": 28.119076621408837}, {\"rating\": \"TV-PG\", \"duration\": \"1 Season\", \"total_measure\": 481750, \"share_within_group\": 27.723810422656467}, {\"rating\": \"TV-G\", \"duration\": \"1 Season\", \"total_measure\": 114887, \"share_within_group\": 25.90672523587033}, {\"rating\": \"TV-14\", \"duration\": \"1 Season\", \"total_measure\": 1076486, \"share_within_group\": 24.749672145922194}, {\"rating\": \"TV-MA\", \"duration\": \"1 Season\", \"total_measure\": 1557739, \"share_within_group\": 24.085889396010845}, {\"rating\": \"TV-Y\", \"duration\": \"2 Seasons\", \"total_measure\": 108935, \"share_within_group\": 17.590929936634865}, {\"rating\": \"G\", \"duration\": \"78 min\", \"total_measure\": 14069, \"share_within_group\": 17.176168965938224}, {\"rating\": \"TV-Y7\", \"duration\": \"2 Seasons\", \"total_measure\": 112933, \"share_within_group\": 16.776048010933184}, {\"rating\": \"TV-Y7-FV\", \"duration\": \"68 min\", \"total_measure\": 2018, \"share_within_group\": 16.69286127884854}, {\"rating\": \"TV-Y7-FV\", \"duration\": \"109 min\", \"total_measure\": 2016, \"share_within_group\": 16.67631731325999}, {\"rating\": \"TV-Y7-FV\", \"duration\": \"44 min\", \"total_measure\": 2016, \"share_within_group\": 16.67631731325999}, {\"rating\": \"TV-Y7-FV\", \"duration\": \"2 Seasons\", \"total_measure\": 2014, \"share_within_group\": 16.659773347671436}, {\"rating\": \"TV-Y7-FV\", \"duration\": \"78 min\", \"total_measure\": 2013, \"share_within_group\": 16.651501364877163}, {\"rating\": \"TV-Y7-FV\", \"duration\": \"43 min\", \"total_measure\": 2012, \"share_within_group\": 16.643229382082886}, {\"rating\": \"NR\", \"duration\": \"86 min\", \"total_measure\": 12061, \"share_within_group\": 7.497218302636241}, {\"rating\": \"G\", \"duration\": \"75 min\", \"total_measure\": 5991, \"share_within_group\": 7.314125259431083}, {\"rating\": \"TV-G\", \"duration\": \"2 Seasons\", \"total_measure\": 30201, \"share_within_group\": 6.810248407988022}, {\"rating\": \"TV-Y7\", \"duration\": \"3 Seasons\", \"total_measure\": 40339, \"share_within_group\": 5.992305178406964}, {\"rating\": \"TV-MA\", \"duration\": \"2 Seasons\", \"total_measure\": 385498, \"share_within_group\": 5.960601994546833}, {\"rating\": \"PG\", \"duration\": \"91 min\", \"total_measure\": 32184, \"share_within_group\": 5.583438436276389}, {\"rating\": \"PG\", \"duration\": \"93 min\", \"total_measure\": 32168, \"share_within_group\": 5.580662677670237}, {\"rating\": \"NR\", \"duration\": \"90 min\", \"total_measure\": 8057, \"share_within_group\": 5.008298471465069}, {\"rating\": \"TV-G\", \"duration\": \"3 Seasons\", \"total_measure\": 22188, \"share_within_group\": 5.0033373622210595}, {\"rating\": \"NR\", \"duration\": \"84 min\", \"total_measure\": 8030, \"share_within_group\": 4.9915150460300985}, {\"rating\": \"NR\", \"duration\": \"95 min\", \"total_measure\": 8030, \"share_within_group\": 4.9915150460300985}, {\"rating\": \"G\", \"duration\": \"87 min\", \"total_measure\": 4037, \"share_within_group\": 4.928580148943963}, {\"rating\": \"G\", \"duration\": \"89 min\", \"total_measure\": 4006, \"share_within_group\": 4.890733732145037}, {\"rating\": \"TV-Y\", \"duration\": \"3 Seasons\", \"total_measure\": 30279, \"share_within_group\": 4.889482421181136}, {\"rating\": \"G\", \"duration\": \"79 min\", \"total_measure\": 4000, \"share_within_group\": 4.883408619216213}, {\"rating\": \"PG\", \"duration\": \"92 min\", \"total_measure\": 28139, \"share_within_group\": 4.881691963658381}, {\"rating\": \"G\", \"duration\": \"84 min\", \"total_measure\": 3986, \"share_within_group\": 4.866316689048956}, {\"rating\": \"G\", \"duration\": \"100 min\", \"total_measure\": 3975, \"share_within_group\": 4.852887315346112}, {\"rating\": \"G\", \"duration\": \"98 min\", \"total_measure\": 3965, \"share_within_group\": 4.840678793798071}, {\"rating\": \"PG\", \"duration\": \"88 min\", \"total_measure\": 26104, \"share_within_group\": 4.528650165938319}, {\"rating\": \"PG\", \"duration\": \"90 min\", \"total_measure\": 24180, \"share_within_group\": 4.194865193548443}, {\"rating\": \"TV-G\", \"duration\": \"87 min\", \"total_measure\": 18146, \"share_within_group\": 4.091876679955983}, {\"rating\": \"TV-PG\", \"duration\": \"2 Seasons\", \"total_measure\": 70584, \"share_within_group\": 4.061977031391352}, {\"rating\": \"TV-Y7\", \"duration\": \"4 Seasons\", \"total_measure\": 26220, \"share_within_group\": 3.894946373926736}, {\"rating\": \"PG-13\", \"duration\": \"97 min\", \"total_measure\": 38214, \"share_within_group\": 3.8813119309663975}, {\"rating\": \"PG\", \"duration\": \"95 min\", \"total_measure\": 22094, \"share_within_group\": 3.83297566527127}, {\"rating\": \"PG\", \"duration\": \"96 min\", \"total_measure\": 22058, \"share_within_group\": 3.826730208407426}, {\"rating\": \"NR\", \"duration\": \"88 min\", \"total_measure\": 6045, \"share_within_group\": 3.757622472385049}, {\"rating\": \"NR\", \"duration\": \"93 min\", \"total_measure\": 6043, \"share_within_group\": 3.7563792556861624}, {\"rating\": \"R\", \"duration\": \"97 min\", \"total_measure\": 60323, \"share_within_group\": 3.755243976002993}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 27.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c1151cbb3e54db285b3585168daeec4cc93fc1f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:33:58.402253+00:00", + "ended_at": "2026-05-19T15:34:14.956518+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_6c869e5af9040f06", + "problem_id": "v2p_c17_2d654c62d943d364", + "dataset_id": "c17", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=rating, measure_col=release_year.", + "bindings": { + "group_col": "rating", + "measure_col": "release_year", + "item_col": "duration", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_6c869e5af9040f06.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_6c869e5af9040f06", + "api_calls": 0, + "input_tokens": 14763, + "cached_input_tokens": 12032, + "output_tokens": 700, + "total_tokens": 15463, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16518.34, + "sql_execution_elapsed_ms_total": 27.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d350c44ef6210883d79ec20adfb79c7b3355379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:14.925565+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16518.34, "started_at": "2026-05-19T15:33:58.405532+00:00", "ended_at": "2026-05-19T15:34:14.923916+00:00", "prompt_metrics": {"chars": 9584, "bytes_utf8": 9586, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 766, "bytes_utf8": 766, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14763, "cached_input_tokens": 12032, "output_tokens": 700, "reasoning_output_tokens": 484}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"rating\\\",\\n \\\"duration\\\",\\n SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure,\\n SUM(CAST(\\\"release_year\\\" AS INTEGER)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS INTEGER))) OVER (PARTITION BY \\\"rating\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nWHERE \\\"rating\\\" IS NOT NULL\\n AND \\\"rating\\\" <> ''\\n AND \\\"duration\\\" IS NOT NULL\\n AND \\\"duration\\\" <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND \\\"release_year\\\" <> ''\\nGROUP BY \\\"rating\\\", \\\"duration\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with \\\"rating\\\" as group_col and \\\"duration\\\" as item_col. \\\"release_year\\\" is cast to INTEGER because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d285a5ff1db2534ecc702323a3645cab802b2a67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_6c869e5af9040f06", + "api_calls": 0, + "input_tokens": 14763, + "cached_input_tokens": 12032, + "output_tokens": 700, + "total_tokens": 15463, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16518.34, + "sql_execution_elapsed_ms_total": 27.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6c869e5af9040f06/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..402adde4a9e47925d44fe9ecb4d48685b32a6ee1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=release_year. +Result preview: [{"empirical_cdf_at_threshold": 0.8245713636879755}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5810149404a6bc7641e685139279f5234b7414f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_c17_6d857e39cb0619a0 +-- problem_id: v2p_c17_6cbb441608831773 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("release_year" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "c17"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e7fbf886b22b4967ee9efc7f000693074323cc42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"release_year\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"c17\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"release_year\\\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c17\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.8245713636879755}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eb352bc9cd0ae6ad3aa5d16ce29bd5e6ef8f935c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:56:38.983696+00:00", + "ended_at": "2026-05-19T15:56:50.470382+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_6d857e39cb0619a0", + "problem_id": "v2p_c17_6cbb441608831773", + "dataset_id": "c17", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=release_year.", + "bindings": { + "measure_col": "release_year", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=108" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_6d857e39cb0619a0.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_6d857e39cb0619a0", + "api_calls": 0, + "input_tokens": 14636, + "cached_input_tokens": 13696, + "output_tokens": 296, + "total_tokens": 14932, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11473.9, + "sql_execution_elapsed_ms_total": 6.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..158febd590715e87671fb8908371ef1052787975 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:50.461331+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11473.9, "started_at": "2026-05-19T15:56:38.985775+00:00", "ended_at": "2026-05-19T15:56:50.459711+00:00", "prompt_metrics": {"chars": 9115, "bytes_utf8": 9117, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14636, "cached_input_tokens": 13696, "output_tokens": 296, "reasoning_output_tokens": 187}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"release_year\\\" AS REAL) <= 2019.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"c17\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"release_year\\\" and threshold 2019.0. CAST is used because \\\"release_year\\\" is stored as TEXT in the schema snapshot.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4bd334fbab1f02b1048a5baaa6242e399b9247b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_6d857e39cb0619a0", + "api_calls": 0, + "input_tokens": 14636, + "cached_input_tokens": 13696, + "output_tokens": 296, + "total_tokens": 14932, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11473.9, + "sql_execution_elapsed_ms_total": 6.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6d857e39cb0619a0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..927933da89dca6d72c68c634c63227065a0faba2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=rating, measure_col=release_year. +Result preview: [{"rating": "TV-MA", "total_measure": 6467434}, {"rating": "TV-14", "total_measure": 4349496}, {"rating": "TV-PG", "total_measure": 1737676}, {"rating": "R", "total_measure": 1606367}, {"rating": "PG-13", "total_measure": 984564}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..37a2214966d99727063e167981cd8b925dd45f27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c17_6e0e202ca7499c4d +-- problem_id: v2p_c17_7d50b9858ba49099 +-- realization_mode: agent +-- source_kind: agent +SELECT "rating", SUM(CAST(NULLIF("release_year", '') AS INTEGER)) AS total_measure +FROM "c17" +GROUP BY "rating" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe566f830355c9adce559d90e4f0ea2604fdf2cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"rating\", SUM(CAST(NULLIF(\"release_year\", '') AS INTEGER)) AS total_measure\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"rating\\\", SUM(CAST(NULLIF(\\\"release_year\\\", '') AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"rating\", \"total_measure\"], \"rows\": [{\"rating\": \"TV-MA\", \"total_measure\": 6467434}, {\"rating\": \"TV-14\", \"total_measure\": 4349496}, {\"rating\": \"TV-PG\", \"total_measure\": 1737676}, {\"rating\": \"R\", \"total_measure\": 1606367}, {\"rating\": \"PG-13\", \"total_measure\": 984564}, {\"rating\": \"TV-Y7\", \"total_measure\": 673180}, {\"rating\": \"TV-Y\", \"total_measure\": 619268}, {\"rating\": \"PG\", \"total_measure\": 576419}, {\"rating\": \"TV-G\", \"total_measure\": 443464}, {\"rating\": \"NR\", \"total_measure\": 160873}, {\"rating\": \"G\", \"total_measure\": 81910}, {\"rating\": \"TV-Y7-FV\", \"total_measure\": 12089}, {\"rating\": \"\", \"total_measure\": 8060}, {\"rating\": \"NC-17\", \"total_measure\": 6045}, {\"rating\": \"UR\", \"total_measure\": 5998}, {\"rating\": \"74 min\", \"total_measure\": 2017}, {\"rating\": \"66 min\", \"total_measure\": 2015}, {\"rating\": \"84 min\", \"total_measure\": 2010}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a94188ae792b2dedb6e6293f7a10c8ffa7a3f274 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:28:56.284485+00:00", + "ended_at": "2026-05-19T15:29:06.592320+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_6e0e202ca7499c4d", + "problem_id": "v2p_c17_7d50b9858ba49099", + "dataset_id": "c17", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=rating, measure_col=release_year.", + "bindings": { + "group_col": "rating", + "measure_col": "release_year", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=2" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_6e0e202ca7499c4d.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_6e0e202ca7499c4d", + "api_calls": 0, + "input_tokens": 14645, + "cached_input_tokens": 13696, + "output_tokens": 381, + "total_tokens": 15026, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10297.33, + "sql_execution_elapsed_ms_total": 6.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f0fcbb3b4e6e0a680082fa3638ae11b288e4b3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:06.584752+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10297.33, "started_at": "2026-05-19T15:28:56.286549+00:00", "ended_at": "2026-05-19T15:29:06.583912+00:00", "prompt_metrics": {"chars": 9174, "bytes_utf8": 9176, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 468, "bytes_utf8": 468, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14645, "cached_input_tokens": 13696, "output_tokens": 381, "reasoning_output_tokens": 262}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"rating\\\", SUM(CAST(NULLIF(\\\"release_year\\\", '') AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the requested grouped numeric sum template with group_col=\\\"rating\\\" and measure_col=\\\"release_year\\\". \\\"release_year\\\" is stored as TEXT in the schema, so it is cast to INTEGER for a SQLite-safe numeric SUM; empty strings are converted to NULL via NULLIF.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..57ab46043888c9d4b7fe9e9ab05e504adc66158e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_6e0e202ca7499c4d", + "api_calls": 0, + "input_tokens": 14645, + "cached_input_tokens": 13696, + "output_tokens": 381, + "total_tokens": 15026, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10297.33, + "sql_execution_elapsed_ms_total": 6.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_6e0e202ca7499c4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc65ff76cbe302403afd08ddd096b3f79284b7ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=type, measure_col=release_year. +Result preview: [{"type": "Movie", "total_measure": 12342448}, {"type": "TV Show", "total_measure": 5396437}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ebb166fd6d47ab09f52bb82df240b8da4f3a8df6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c17_78c40f436bab0d80 +-- problem_id: v2p_c17_fa99314b4842e82d +-- realization_mode: agent +-- source_kind: agent +SELECT "type", SUM(CAST("release_year" AS INTEGER)) AS "total_measure" +FROM "c17" +GROUP BY "type" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4b4ca1785d62bba4991f3ffefef66d37c4b50c09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"type\", SUM(CAST(\"release_year\" AS INTEGER)) AS \"total_measure\"\nFROM \"c17\"\nGROUP BY \"type\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"type\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"type\", \"total_measure\"], \"rows\": [{\"type\": \"Movie\", \"total_measure\": 12342448}, {\"type\": \"TV Show\", \"total_measure\": 5396437}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..17a43ee3bbc86d4e1e37c1bec38ac321a1c01f09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:29:50.223776+00:00", + "ended_at": "2026-05-19T15:30:02.607356+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_78c40f436bab0d80", + "problem_id": "v2p_c17_fa99314b4842e82d", + "dataset_id": "c17", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=type, measure_col=release_year.", + "bindings": { + "group_col": "type", + "measure_col": "release_year", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2018.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_78c40f436bab0d80.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_78c40f436bab0d80", + "api_calls": 0, + "input_tokens": 14645, + "cached_input_tokens": 12032, + "output_tokens": 362, + "total_tokens": 15007, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12373.98, + "sql_execution_elapsed_ms_total": 4.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bc681f7a2e1d2624e0640805af2640ddf5fd8fc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:02.600987+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12373.98, "started_at": "2026-05-19T15:29:50.226256+00:00", "ended_at": "2026-05-19T15:30:02.600260+00:00", "prompt_metrics": {"chars": 9171, "bytes_utf8": 9173, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 368, "bytes_utf8": 368, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14645, "cached_input_tokens": 12032, "output_tokens": 362, "reasoning_output_tokens": 262}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"type\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS \\\"total_measure\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped sum template with group_col=\\\"type\\\" and measure_col=\\\"release_year\\\". CAST is applied because \\\"release_year\\\" is stored as TEXT in the schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..11dcb880eabb3197f666eda85b388d5dbdf3b235 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_78c40f436bab0d80", + "api_calls": 0, + "input_tokens": 14645, + "cached_input_tokens": 12032, + "output_tokens": 362, + "total_tokens": 15007, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12373.98, + "sql_execution_elapsed_ms_total": 4.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_78c40f436bab0d80/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c2f6cccefd29283e97d67c4f451a1025061dcfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"release_year": "2018", "total_rows": 1147, "missing_rows": 0, "missing_rate": 0.0}, {"release_year": "2017", "total_rows": 1032, "missing_rows": 0, "missing_rate": 0.0}, {"release_year": "2019", "total_rows": 1030, "missing_rows": 0, "missing_rate": 0.0}, {"release_year": "2020", "total_rows": 953, "missing_rows": 0, "missing_rate": 0.0}, {"release_year": "2016", "total_rows": 902, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..015474db75c284b8bdd90ab8ffaa37df384c1ca2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c17_79a33e2daff1efc0 +-- problem_id: v2p_c17_1aea8f7a6d4ba2e9 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "release_year", + COUNT(*) AS total_rows, + SUM(CASE WHEN "country" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "country" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c17" +GROUP BY "release_year" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ece26a97a44bf28090784be4a6f3e854b8a0a8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c17\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c17_79a33e2daff1efc0\n-- problem_id: v2p_c17_1aea8f7a6d4ba2e9\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"release_year\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"country\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"country\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c17\"\nGROUP BY \"release_year\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c17\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c17_79a33e2daff1efc0\\n-- problem_id: v2p_c17_1aea8f7a6d4ba2e9\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"release_year\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"country\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"country\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"release_year\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"release_year\": \"2018\", \"total_rows\": 1147, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2017\", \"total_rows\": 1032, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2019\", \"total_rows\": 1030, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2020\", \"total_rows\": 953, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2016\", \"total_rows\": 902, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2021\", \"total_rows\": 592, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2015\", \"total_rows\": 560, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2014\", \"total_rows\": 352, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2013\", \"total_rows\": 288, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2012\", \"total_rows\": 237, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2010\", \"total_rows\": 194, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2011\", \"total_rows\": 185, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2009\", \"total_rows\": 152, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2008\", \"total_rows\": 136, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2006\", \"total_rows\": 96, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2007\", \"total_rows\": 88, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2005\", \"total_rows\": 80, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2004\", \"total_rows\": 64, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2003\", \"total_rows\": 61, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2002\", \"total_rows\": 51, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2001\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1999\", \"total_rows\": 39, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1997\", \"total_rows\": 38, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"2000\", \"total_rows\": 37, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1998\", \"total_rows\": 36, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1993\", \"total_rows\": 28, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1995\", \"total_rows\": 25, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1996\", \"total_rows\": 24, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1992\", \"total_rows\": 23, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1990\", \"total_rows\": 22, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1994\", \"total_rows\": 22, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1988\", \"total_rows\": 18, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1982\", \"total_rows\": 17, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1991\", \"total_rows\": 17, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1989\", \"total_rows\": 16, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1981\", \"total_rows\": 13, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1986\", \"total_rows\": 13, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1984\", \"total_rows\": 12, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1979\", \"total_rows\": 11, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1980\", \"total_rows\": 11, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1983\", \"total_rows\": 11, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1973\", \"total_rows\": 10, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1985\", \"total_rows\": 10, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1976\", \"total_rows\": 9, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1987\", \"total_rows\": 8, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1974\", \"total_rows\": 7, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1975\", \"total_rows\": 7, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1977\", \"total_rows\": 7, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1978\", \"total_rows\": 7, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"release_year\": \"1967\", \"total_rows\": 5, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..29246db90e81069361d1c1c0ea6895d4d88781be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:03:15.353428+00:00", + "ended_at": "2026-05-19T16:03:15.360480+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_79a33e2daff1efc0", + "problem_id": "v2p_c17_1aea8f7a6d4ba2e9", + "dataset_id": "c17", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=release_year, missing_col=country.", + "bindings": { + "missing_col": "country", + "group_col": "release_year" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_79a33e2daff1efc0.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_79a33e2daff1efc0/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..43e1f174be96eb6ecc4fec74f395b62c21b9887b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"rating": "TV-MA", "total_rows": 3207, "missing_rows": 0, "missing_rate": 0.0}, {"rating": "TV-14", "total_rows": 2160, "missing_rows": 0, "missing_rate": 0.0}, {"rating": "TV-PG", "total_rows": 863, "missing_rows": 0, "missing_rate": 0.0}, {"rating": "R", "total_rows": 799, "missing_rows": 0, "missing_rate": 0.0}, {"rating": "PG-13", "total_rows": 490, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d0a285446e4c8e6eddb9f20ec94ac1d77fdab3e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c17_7adffef7bbd7593b +-- problem_id: v2p_c17_de4c4912ef937d0d +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "rating", + COUNT(*) AS total_rows, + SUM(CASE WHEN "date_added" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "date_added" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c17" +GROUP BY "rating" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e302d765e82e70d7524bc5e854eb654d9cf568af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c17\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c17_7adffef7bbd7593b\n-- problem_id: v2p_c17_de4c4912ef937d0d\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"rating\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"date_added\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"date_added\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c17\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c17_7adffef7bbd7593b\\n-- problem_id: v2p_c17_de4c4912ef937d0d\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"rating\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"date_added\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"date_added\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"rating\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"rating\": \"TV-MA\", \"total_rows\": 3207, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"TV-14\", \"total_rows\": 2160, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"TV-PG\", \"total_rows\": 863, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"R\", \"total_rows\": 799, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"PG-13\", \"total_rows\": 490, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"TV-Y7\", \"total_rows\": 334, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"TV-Y\", \"total_rows\": 307, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"PG\", \"total_rows\": 287, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"TV-G\", \"total_rows\": 220, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"NR\", \"total_rows\": 80, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"G\", \"total_rows\": 41, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"TV-Y7-FV\", \"total_rows\": 6, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"\", \"total_rows\": 4, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"NC-17\", \"total_rows\": 3, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"UR\", \"total_rows\": 3, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"66 min\", \"total_rows\": 1, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"74 min\", \"total_rows\": 1, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"rating\": \"84 min\", \"total_rows\": 1, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..103a5f642b034c8d7075a9ffbe96683c500a71bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:03:15.373255+00:00", + "ended_at": "2026-05-19T16:03:15.378876+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_7adffef7bbd7593b", + "problem_id": "v2p_c17_de4c4912ef937d0d", + "dataset_id": "c17", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=rating, missing_col=date_added.", + "bindings": { + "missing_col": "date_added", + "group_col": "rating" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_7adffef7bbd7593b.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_7adffef7bbd7593b/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc8694e025e4ac547bbe29b4afc8ed4963ad4b2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=type, measure_col=release_year. +Result preview: [{"type": "TV Show", "percentile_measure": 2021.0}, {"type": "Movie", "percentile_measure": 2020.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aeb0aec6ea7d9b99d2468ee32efba32458dc3834 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/generated_sql.sql @@ -0,0 +1,61 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c17_844721d5a72bd3e4 +-- problem_id: v2p_c17_abf4c7de62c4afcc +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "type", + CAST("release_year" AS INTEGER) AS "release_year_num", + ROW_NUMBER() OVER ( + PARTITION BY "type" + ORDER BY CAST("release_year" AS INTEGER) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "type") AS "cnt" + FROM "c17" + WHERE TRIM(COALESCE("release_year", '')) <> '' +), +"positions" AS ( + SELECT DISTINCT + "type", + 1.0 + 0.95 * ("cnt" - 1) AS "pos", + CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + 0.95 * ("cnt" - 1)) = CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + THEN CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + ELSE CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + 1 + END AS "hi_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."type", + p."pos", + p."lo_rn", + p."hi_rn", + lo."release_year_num" AS "lo_val", + hi."release_year_num" AS "hi_val" + FROM "positions" AS p + JOIN "ordered" AS lo + ON lo."type" = p."type" + AND lo."rn" = p."lo_rn" + JOIN "ordered" AS hi + ON hi."type" = p."type" + AND hi."rn" = p."hi_rn" +) +SELECT + "type", + CASE + WHEN "lo_rn" = "hi_rn" THEN 1.0 * "lo_val" + ELSE "lo_val" + ("pos" - "lo_rn") * ("hi_val" - "lo_val") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..94aa29430cc4637cde76f9b3a78fadedec86864f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"type\",\n CAST(\"release_year\" AS INTEGER) AS \"release_year_num\",\n ROW_NUMBER() OVER (\n PARTITION BY \"type\"\n ORDER BY CAST(\"release_year\" AS INTEGER)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"type\") AS \"cnt\"\n FROM \"c17\"\n WHERE TRIM(COALESCE(\"release_year\", '')) <> ''\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"type\",\n 1.0 + 0.95 * (\"cnt\" - 1) AS \"pos\",\n CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN (1.0 + 0.95 * (\"cnt\" - 1)) = CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER)\n THEN CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER)\n ELSE CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"type\",\n p.\"pos\",\n p.\"lo_rn\",\n p.\"hi_rn\",\n lo.\"release_year_num\" AS \"lo_val\",\n hi.\"release_year_num\" AS \"hi_val\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS lo\n ON lo.\"type\" = p.\"type\"\n AND lo.\"rn\" = p.\"lo_rn\"\n JOIN \"ordered\" AS hi\n ON hi.\"type\" = p.\"type\"\n AND hi.\"rn\" = p.\"hi_rn\"\n)\nSELECT\n \"type\",\n CASE\n WHEN \"lo_rn\" = \"hi_rn\" THEN 1.0 * \"lo_val\"\n ELSE \"lo_val\" + (\"pos\" - \"lo_rn\") * (\"hi_val\" - \"lo_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"type\\\",\\n CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_num\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"type\\\"\\n ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"type\\\") AS \\\"cnt\\\"\\n FROM \\\"c17\\\"\\n WHERE TRIM(COALESCE(\\\"release_year\\\", '')) <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"type\\\",\\n 1.0 + 0.95 * (\\\"cnt\\\" - 1) AS \\\"pos\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"type\\\",\\n p.\\\"pos\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\",\\n lo.\\\"release_year_num\\\" AS \\\"lo_val\\\",\\n hi.\\\"release_year_num\\\" AS \\\"hi_val\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS lo\\n ON lo.\\\"type\\\" = p.\\\"type\\\"\\n AND lo.\\\"rn\\\" = p.\\\"lo_rn\\\"\\n JOIN \\\"ordered\\\" AS hi\\n ON hi.\\\"type\\\" = p.\\\"type\\\"\\n AND hi.\\\"rn\\\" = p.\\\"hi_rn\\\"\\n)\\nSELECT\\n \\\"type\\\",\\n CASE\\n WHEN \\\"lo_rn\\\" = \\\"hi_rn\\\" THEN 1.0 * \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + (\\\"pos\\\" - \\\"lo_rn\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"type\", \"percentile_measure\"], \"rows\": [{\"type\": \"TV Show\", \"percentile_measure\": 2021.0}, {\"type\": \"Movie\", \"percentile_measure\": 2020.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 55.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..69df5a287eca96b0e1d5801fb0d69bfefc3a4b52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:50:41.099750+00:00", + "ended_at": "2026-05-19T15:51:17.504353+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_844721d5a72bd3e4", + "problem_id": "v2p_c17_abf4c7de62c4afcc", + "dataset_id": "c17", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=type, measure_col=release_year.", + "bindings": { + "group_col": "type", + "measure_col": "release_year", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_844721d5a72bd3e4.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_844721d5a72bd3e4", + "api_calls": 0, + "input_tokens": 14683, + "cached_input_tokens": 13696, + "output_tokens": 2210, + "total_tokens": 16893, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 36340.63, + "sql_execution_elapsed_ms_total": 55.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95b523ead0342adb149381c9ee53c5a9f90d9d2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:17.445410+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 36340.63, "started_at": "2026-05-19T15:50:41.103220+00:00", "ended_at": "2026-05-19T15:51:17.443881+00:00", "prompt_metrics": {"chars": 9349, "bytes_utf8": 9351, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 1657, "bytes_utf8": 1657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14683, "cached_input_tokens": 13696, "output_tokens": 2210, "reasoning_output_tokens": 1625}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"type\\\",\\n CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_num\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"type\\\"\\n ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"type\\\") AS \\\"cnt\\\"\\n FROM \\\"c17\\\"\\n WHERE TRIM(COALESCE(\\\"release_year\\\", '')) <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"type\\\",\\n 1.0 + 0.95 * (\\\"cnt\\\" - 1) AS \\\"pos\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER)\\n ELSE CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"type\\\",\\n p.\\\"pos\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\",\\n lo.\\\"release_year_num\\\" AS \\\"lo_val\\\",\\n hi.\\\"release_year_num\\"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3164ce4bd3a3882e7b2892c95e11ac1cfb5a3a6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_844721d5a72bd3e4", + "api_calls": 0, + "input_tokens": 14683, + "cached_input_tokens": 13696, + "output_tokens": 2210, + "total_tokens": 16893, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 36340.63, + "sql_execution_elapsed_ms_total": 55.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_844721d5a72bd3e4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..90cc1dd3f773d79e4465fe08d5794dcf6c2bf17a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=type, measure_col=release_year. +Result preview: [{"type": "TV Show", "avg_measure": 2016.605754857997}, {"type": "Movie", "avg_measure": 2013.1215136193116}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..87b78f5caf0769665c1eb8d184b3c4b12739231a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_c17_85e91d223e22f910 +-- problem_id: v2p_c17_d38424946c4e01b5 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "type", + AVG(CAST("release_year" AS REAL)) OVER (PARTITION BY "type") AS "avg_measure" +FROM "c17" +WHERE "type" IS NOT NULL + AND TRIM("type") <> '' + AND "release_year" IS NOT NULL + AND TRIM("release_year") <> '' +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46366f667ebb28c78ba44bf6a3e3b4eae08b76ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"type\",\n AVG(CAST(\"release_year\" AS REAL)) OVER (PARTITION BY \"type\") AS \"avg_measure\"\nFROM \"c17\"\nWHERE \"type\" IS NOT NULL\n AND TRIM(\"type\") <> ''\n AND \"release_year\" IS NOT NULL\n AND TRIM(\"release_year\") <> ''\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"type\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"type\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"type\\\" IS NOT NULL\\n AND TRIM(\\\"type\\\") <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND TRIM(\\\"release_year\\\") <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"type\", \"avg_measure\"], \"rows\": [{\"type\": \"TV Show\", \"avg_measure\": 2016.605754857997}, {\"type\": \"Movie\", \"avg_measure\": 2013.1215136193116}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 20.1}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2b3107538e95e4fa1c91474e9438a6475e73249c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:01:56.178171+00:00", + "ended_at": "2026-05-19T16:02:09.167455+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_85e91d223e22f910", + "problem_id": "v2p_c17_d38424946c4e01b5", + "dataset_id": "c17", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=type, measure_col=release_year.", + "bindings": { + "group_col": "type", + "measure_col": "release_year", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_85e91d223e22f910.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_85e91d223e22f910", + "api_calls": 0, + "input_tokens": 14657, + "cached_input_tokens": 13696, + "output_tokens": 330, + "total_tokens": 14987, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11961.45, + "sql_execution_elapsed_ms_total": 20.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..077aade10d4b9c848ecd58ae6dbf9f874b934fd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:59.067953+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": 2885.82, "started_at": "2026-05-19T16:01:56.181125+00:00", "ended_at": "2026-05-19T16:01:59.066972+00:00", "prompt_metrics": {"chars": 9256, "bytes_utf8": 9258, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-eeeb-7a13-9226-fa0cbfe29a58\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:02:09.145709+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": 9075.63, "started_at": "2026-05-19T16:02:00.068831+00:00", "ended_at": "2026-05-19T16:02:09.144491+00:00", "prompt_metrics": {"chars": 9256, "bytes_utf8": 9258, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 605, "bytes_utf8": 605, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14657, "cached_input_tokens": 13696, "output_tokens": 330, "reasoning_output_tokens": 168}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"type\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"type\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"type\\\" IS NOT NULL\\n AND TRIM(\\\"type\\\") <> ''\\n AND \\\"release_year\\\" IS NOT NULL\\n AND TRIM(\\\"release_year\\\") <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the required Window Partition Average template with group_col=\\\"type\\\" and measure_col=\\\"release_year\\\". Cast \\\"release_year\\\" to REAL because the schema stores it as TEXT, and filtered null/empty values to produce a stable grouped average view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..95e0d30416354bd23138fa89613e2c685bc7c714 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_85e91d223e22f910", + "api_calls": 0, + "input_tokens": 14657, + "cached_input_tokens": 13696, + "output_tokens": 330, + "total_tokens": 14987, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11961.45, + "sql_execution_elapsed_ms_total": 20.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_85e91d223e22f910/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_87098e4fe9754f19/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_87098e4fe9754f19/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_87098e4fe9754f19/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f53d940f2e2d2858672a1a88a8882eff818ee929 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=release_year, measure_col=release_year. +Result preview: [{"release_year": "1925", "show_id": "s4251", "total_measure": 1925.0, "share_within_group": 100.0}, {"release_year": "1947", "show_id": "s8588", "total_measure": 1947.0, "share_within_group": 100.0}, {"release_year": "1959", "show_id": "s543", "total_measure": 1959.0, "share_within_group": 100.0}, {"release_year": "1961", "show_id": "s178", "total_measure": 1961.0, "share_within_group": 100.0}, {"release_year": "1966", "show_id": "s5392", "total_measure": 1966.0, "share_within_group": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bbf57d0149699e46d4e5d64a8913d8beac99321e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_c17_9096bf8dcb3ccbf0 +-- problem_id: v2p_c17_7b62cc3ea318b1e1 +-- realization_mode: agent +-- source_kind: agent +SELECT "release_year", "show_id", + SUM(CAST("release_year" AS REAL)) AS total_measure, + SUM(CAST("release_year" AS REAL)) * 100.0 / SUM(SUM(CAST("release_year" AS REAL))) OVER (PARTITION BY "release_year") AS share_within_group +FROM "c17" +GROUP BY "release_year", "show_id" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..388fd1765abecce12f95066cef4e7c4e2759f4b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"release_year\", \"show_id\",\n SUM(CAST(\"release_year\" AS REAL)) AS total_measure,\n SUM(CAST(\"release_year\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"release_year\" AS REAL))) OVER (PARTITION BY \"release_year\") AS share_within_group\nFROM \"c17\"\nGROUP BY \"release_year\", \"show_id\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"release_year\\\", \\\"show_id\\\",\\n SUM(CAST(\\\"release_year\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"release_year\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\", \\\"show_id\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"release_year\", \"show_id\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"release_year\": \"1925\", \"show_id\": \"s4251\", \"total_measure\": 1925.0, \"share_within_group\": 100.0}, {\"release_year\": \"1947\", \"show_id\": \"s8588\", \"total_measure\": 1947.0, \"share_within_group\": 100.0}, {\"release_year\": \"1959\", \"show_id\": \"s543\", \"total_measure\": 1959.0, \"share_within_group\": 100.0}, {\"release_year\": \"1961\", \"show_id\": \"s178\", \"total_measure\": 1961.0, \"share_within_group\": 100.0}, {\"release_year\": \"1966\", \"show_id\": \"s5392\", \"total_measure\": 1966.0, \"share_within_group\": 100.0}, {\"release_year\": \"1942\", \"show_id\": \"s7791\", \"total_measure\": 1942.0, \"share_within_group\": 50.0}, {\"release_year\": \"1942\", \"show_id\": \"s8206\", \"total_measure\": 1942.0, \"share_within_group\": 50.0}, {\"release_year\": \"1946\", \"show_id\": \"s7295\", \"total_measure\": 1946.0, \"share_within_group\": 50.0}, {\"release_year\": \"1946\", \"show_id\": \"s7744\", \"total_measure\": 1946.0, \"share_within_group\": 50.0}, {\"release_year\": \"1954\", \"show_id\": \"s1700\", \"total_measure\": 1954.0, \"share_within_group\": 50.0}, {\"release_year\": \"1954\", \"show_id\": \"s2376\", \"total_measure\": 1954.0, \"share_within_group\": 50.0}, {\"release_year\": \"1956\", \"show_id\": \"s2370\", \"total_measure\": 1956.0, \"share_within_group\": 50.0}, {\"release_year\": \"1956\", \"show_id\": \"s6785\", \"total_measure\": 1956.0, \"share_within_group\": 50.0}, {\"release_year\": \"1963\", \"show_id\": \"s2374\", \"total_measure\": 1963.0, \"share_within_group\": 50.0}, {\"release_year\": \"1963\", \"show_id\": \"s8542\", \"total_measure\": 1963.0, \"share_within_group\": 50.0}, {\"release_year\": \"1964\", \"show_id\": \"s1127\", \"total_measure\": 1964.0, \"share_within_group\": 50.0}, {\"release_year\": \"1964\", \"show_id\": \"s7933\", \"total_measure\": 1964.0, \"share_within_group\": 50.0}, {\"release_year\": \"1965\", \"show_id\": \"s6620\", \"total_measure\": 1965.0, \"share_within_group\": 50.0}, {\"release_year\": \"1965\", \"show_id\": \"s8250\", \"total_measure\": 1965.0, \"share_within_group\": 50.0}, {\"release_year\": \"1969\", \"show_id\": \"s5462\", \"total_measure\": 1969.0, \"share_within_group\": 50.0}, {\"release_year\": \"1969\", \"show_id\": \"s8636\", \"total_measure\": 1969.0, \"share_within_group\": 50.0}, {\"release_year\": \"1970\", \"show_id\": \"s2377\", \"total_measure\": 1970.0, \"share_within_group\": 50.0}, {\"release_year\": \"1970\", \"show_id\": \"s8261\", \"total_measure\": 1970.0, \"share_within_group\": 50.0}, {\"release_year\": \"1943\", \"show_id\": \"s8661\", \"total_measure\": 1943.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1943\", \"show_id\": \"s8740\", \"total_measure\": 1943.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1943\", \"show_id\": \"s8764\", \"total_measure\": 1943.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1944\", \"show_id\": \"s8420\", \"total_measure\": 1944.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1944\", \"show_id\": \"s8437\", \"total_measure\": 1944.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1944\", \"show_id\": \"s8641\", \"total_measure\": 1944.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1955\", \"show_id\": \"s7840\", \"total_measure\": 1955.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1955\", \"show_id\": \"s7955\", \"total_measure\": 1955.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1955\", \"show_id\": \"s8507\", \"total_measure\": 1955.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1958\", \"show_id\": \"s2369\", \"total_measure\": 1958.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1958\", \"show_id\": \"s6432\", \"total_measure\": 1958.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1958\", \"show_id\": \"s6854\", \"total_measure\": 1958.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1962\", \"show_id\": \"s5401\", \"total_measure\": 1962.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1962\", \"show_id\": \"s7333\", \"total_measure\": 1962.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1962\", \"show_id\": \"s7531\", \"total_measure\": 1962.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1968\", \"show_id\": \"s6474\", \"total_measure\": 1968.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1968\", \"show_id\": \"s7660\", \"total_measure\": 1968.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1968\", \"show_id\": \"s7895\", \"total_measure\": 1968.0, \"share_within_group\": 33.333333333333336}, {\"release_year\": \"1945\", \"show_id\": \"s1332\", \"total_measure\": 1945.0, \"share_within_group\": 25.0}, {\"release_year\": \"1945\", \"show_id\": \"s7220\", \"total_measure\": 1945.0, \"share_within_group\": 25.0}, {\"release_year\": \"1945\", \"show_id\": \"s7576\", \"total_measure\": 1945.0, \"share_within_group\": 25.0}, {\"release_year\": \"1945\", \"show_id\": \"s7931\", \"total_measure\": 1945.0, \"share_within_group\": 25.0}, {\"release_year\": \"1960\", \"show_id\": \"s5221\", \"total_measure\": 1960.0, \"share_within_group\": 25.0}, {\"release_year\": \"1960\", \"show_id\": \"s6396\", \"total_measure\": 1960.0, \"share_within_group\": 25.0}, {\"release_year\": \"1960\", \"show_id\": \"s7134\", \"total_measure\": 1960.0, \"share_within_group\": 25.0}, {\"release_year\": \"1960\", \"show_id\": \"s7638\", \"total_measure\": 1960.0, \"share_within_group\": 25.0}, {\"release_year\": \"1967\", \"show_id\": \"s6359\", \"total_measure\": 1967.0, \"share_within_group\": 20.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 55.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..52af42c8aaedc0f988248d40763eaec20aefef78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:35:36.475862+00:00", + "ended_at": "2026-05-19T15:35:59.970417+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_9096bf8dcb3ccbf0", + "problem_id": "v2p_c17_7b62cc3ea318b1e1", + "dataset_id": "c17", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=release_year, measure_col=release_year.", + "bindings": { + "group_col": "release_year", + "measure_col": "release_year", + "item_col": "show_id", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_9096bf8dcb3ccbf0.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_9096bf8dcb3ccbf0", + "api_calls": 0, + "input_tokens": 14765, + "cached_input_tokens": 12032, + "output_tokens": 1403, + "total_tokens": 16168, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23431.06, + "sql_execution_elapsed_ms_total": 55.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..73dafd233f6e4aba990ef183cae178a9c2a89104 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:59.910870+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 23431.06, "started_at": "2026-05-19T15:35:36.478213+00:00", "ended_at": "2026-05-19T15:35:59.909306+00:00", "prompt_metrics": {"chars": 9590, "bytes_utf8": 9592, "lines": 242, "estimated_tokens": null}, "response_metrics": {"chars": 582, "bytes_utf8": 582, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14765, "cached_input_tokens": 12032, "output_tokens": 1403, "reasoning_output_tokens": 1246}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"release_year\\\", \\\"show_id\\\",\\n SUM(CAST(\\\"release_year\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"release_year\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\", \\\"show_id\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Instantiated the Within-Group Share of Total template with group_col=\\\"release_year\\\", item_col=\\\"show_id\\\", and numeric coercion on \\\"release_year\\\" for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2dcf620107525aea92b0be665007b2a50a89de1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_9096bf8dcb3ccbf0", + "api_calls": 0, + "input_tokens": 14765, + "cached_input_tokens": 12032, + "output_tokens": 1403, + "total_tokens": 16168, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23431.06, + "sql_execution_elapsed_ms_total": 55.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9096bf8dcb3ccbf0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc1ee99ce2e504858513011ec720137e1040957e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=rating. +Result preview: [{"rating": "66 min", "support": 1}, {"rating": "74 min", "support": 1}, {"rating": "84 min", "support": 1}, {"rating": "NC-17", "support": 3}, {"rating": "UR", "support": 3}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..baeadb75bbf1dd5e781a56165b310dfef3577863 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_c17_90ddd93a7f471a19 +-- problem_id: v2p_c17_aad97f4880bcb1b3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "rating", + COUNT(*) AS support +FROM "c17" +GROUP BY "rating" +ORDER BY support ASC, "rating" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..26ca02f54b44a8bca01124e48dfe9703ba44f9d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"rating\",\n COUNT(*) AS support\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY support ASC, \"rating\"\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"rating\\\",\\n COUNT(*) AS support\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY support ASC, \\\"rating\\\"\\nLIMIT 12;\", \"columns\": [\"rating\", \"support\"], \"rows\": [{\"rating\": \"66 min\", \"support\": 1}, {\"rating\": \"74 min\", \"support\": 1}, {\"rating\": \"84 min\", \"support\": 1}, {\"rating\": \"NC-17\", \"support\": 3}, {\"rating\": \"UR\", \"support\": 3}, {\"rating\": \"\", \"support\": 4}, {\"rating\": \"TV-Y7-FV\", \"support\": 6}, {\"rating\": \"G\", \"support\": 41}, {\"rating\": \"NR\", \"support\": 80}, {\"rating\": \"TV-G\", \"support\": 220}, {\"rating\": \"PG\", \"support\": 287}, {\"rating\": \"TV-Y\", \"support\": 307}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..013af9ebbc8221b34faf77c4b648e6e1afae8e85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:58:46.015248+00:00", + "ended_at": "2026-05-19T15:58:58.153089+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_90ddd93a7f471a19", + "problem_id": "v2p_c17_aad97f4880bcb1b3", + "dataset_id": "c17", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=rating.", + "bindings": { + "group_col": "rating", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_90ddd93a7f471a19.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_90ddd93a7f471a19", + "api_calls": 0, + "input_tokens": 14656, + "cached_input_tokens": 13696, + "output_tokens": 242, + "total_tokens": 14898, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11125.85, + "sql_execution_elapsed_ms_total": 4.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..30094eb565c0b4627a3230a63466806dfe0e4c4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:49.330927+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": 3311.63, "started_at": "2026-05-19T15:58:46.018575+00:00", "ended_at": "2026-05-19T15:58:49.330230+00:00", "prompt_metrics": {"chars": 9155, "bytes_utf8": 9157, "lines": 238, "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\":\"019e40f6-07ea-7862-b7ca-0d201bee878b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:58.146853+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": 7814.22, "started_at": "2026-05-19T15:58:50.331847+00:00", "ended_at": "2026-05-19T15:58:58.146103+00:00", "prompt_metrics": {"chars": 9155, "bytes_utf8": 9157, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 310, "bytes_utf8": 310, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14656, "cached_input_tokens": 13696, "output_tokens": 242, "reasoning_output_tokens": 152}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"rating\\\",\\n COUNT(*) AS support\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY support ASC, \\\"rating\\\"\\nLIMIT 12;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"rating\\\" on the single table \\\"c17\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7dc3fda5bc05030115e5b95ed204c5e70a080ee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_90ddd93a7f471a19", + "api_calls": 0, + "input_tokens": 14656, + "cached_input_tokens": 13696, + "output_tokens": 242, + "total_tokens": 14898, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11125.85, + "sql_execution_elapsed_ms_total": 4.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_90ddd93a7f471a19/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..022b43b360cce18b23eb527b2bebdc837accd6cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"duration": "1 Season", "total_rows": 1793, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "2 Seasons", "total_rows": 425, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "3 Seasons", "total_rows": 199, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "90 min", "total_rows": 152, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "93 min", "total_rows": 146, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..61eff4b32f523eb8b04711f80da6a488a356958b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c17_91f3561e0d5344dd +-- problem_id: v2p_c17_54fada0a3f78837c +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "duration", + COUNT(*) AS total_rows, + SUM(CASE WHEN "cast" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "cast" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c17" +GROUP BY "duration" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c1f8d88cda6f9dd6bf260b08489b9e61c36aea2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c17\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c17_91f3561e0d5344dd\n-- problem_id: v2p_c17_54fada0a3f78837c\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"duration\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"cast\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"cast\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c17\"\nGROUP BY \"duration\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c17\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c17_91f3561e0d5344dd\\n-- problem_id: v2p_c17_54fada0a3f78837c\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"duration\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"cast\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"cast\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"duration\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"duration\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"duration\": \"1 Season\", \"total_rows\": 1793, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"2 Seasons\", \"total_rows\": 425, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"3 Seasons\", \"total_rows\": 199, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"90 min\", \"total_rows\": 152, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"93 min\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"94 min\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"97 min\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"91 min\", \"total_rows\": 144, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"95 min\", \"total_rows\": 137, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"96 min\", \"total_rows\": 130, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"92 min\", \"total_rows\": 129, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"102 min\", \"total_rows\": 122, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"98 min\", \"total_rows\": 120, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"99 min\", \"total_rows\": 118, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"101 min\", \"total_rows\": 116, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"88 min\", \"total_rows\": 116, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"103 min\", \"total_rows\": 114, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"106 min\", \"total_rows\": 111, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"100 min\", \"total_rows\": 108, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"89 min\", \"total_rows\": 106, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"104 min\", \"total_rows\": 104, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"86 min\", \"total_rows\": 103, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"105 min\", \"total_rows\": 101, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"87 min\", \"total_rows\": 101, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"107 min\", \"total_rows\": 98, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"110 min\", \"total_rows\": 97, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"4 Seasons\", \"total_rows\": 95, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"108 min\", \"total_rows\": 87, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"116 min\", \"total_rows\": 80, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"112 min\", \"total_rows\": 74, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"85 min\", \"total_rows\": 73, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"109 min\", \"total_rows\": 69, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"113 min\", \"total_rows\": 69, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"111 min\", \"total_rows\": 68, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"84 min\", \"total_rows\": 67, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"118 min\", \"total_rows\": 65, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"5 Seasons\", \"total_rows\": 65, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"83 min\", \"total_rows\": 65, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"119 min\", \"total_rows\": 63, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"81 min\", \"total_rows\": 62, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"115 min\", \"total_rows\": 61, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"117 min\", \"total_rows\": 61, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"114 min\", \"total_rows\": 56, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"120 min\", \"total_rows\": 56, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"121 min\", \"total_rows\": 54, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"124 min\", \"total_rows\": 52, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"82 min\", \"total_rows\": 52, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"127 min\", \"total_rows\": 48, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"122 min\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"78 min\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1257c47501ff7d5a26480012285f0c4c8c19e27a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:03:15.344203+00:00", + "ended_at": "2026-05-19T16:03:15.352956+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_91f3561e0d5344dd", + "problem_id": "v2p_c17_54fada0a3f78837c", + "dataset_id": "c17", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=duration, missing_col=cast.", + "bindings": { + "missing_col": "cast", + "group_col": "duration" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_91f3561e0d5344dd.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_91f3561e0d5344dd/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9ec5e8843c27e074/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9ec5e8843c27e074/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7d1879ed7764c1df7310b188b86331dc5cc56b28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9ec5e8843c27e074/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:58:37.611072+00:00", + "ended_at": "2026-05-19T15:58:46.014885+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_9ec5e8843c27e074", + "problem_id": "v2p_c17_d1e90c250d6fd15d", + "dataset_id": "c17", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=release_year.", + "bindings": { + "group_col": "release_year", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9ec5e8843c27e074/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9ec5e8843c27e074/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6940f1aa1d7031ed8e4467c4fbc63fa92ecb1e2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_9ec5e8843c27e074/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:41.734576+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": 4119.71, "started_at": "2026-05-19T15:58:37.614037+00:00", "ended_at": "2026-05-19T15:58:41.733776+00:00", "prompt_metrics": {"chars": 9169, "bytes_utf8": 9171, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-e748-77d0-9f7f-667321dc0729\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:46.014795+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3277.07, "started_at": "2026-05-19T15:58:42.736518+00:00", "ended_at": "2026-05-19T15:58:46.013634+00:00", "prompt_metrics": {"chars": 9169, "bytes_utf8": 9171, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-fb57-7790-bb9d-bd296c9b6ff4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4307ee44a4e4987b41314c7c94fdc6d4104c8c3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=release_year, measure_col=release_year. +Result preview: [{"release_year": "2021", "percentile_measure": 2021}, {"release_year": "2020", "percentile_measure": 2020}, {"release_year": "2019", "percentile_measure": 2019}, {"release_year": "2018", "percentile_measure": 2018}, {"release_year": "2017", "percentile_measure": 2017}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e9347a9a6081ff203d59bc100fa5689a9a4342fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c17_aaff873cf057636a +-- problem_id: v2p_c17_9052f734d14e43f0 +-- realization_mode: agent +-- source_kind: agent +SELECT + "release_year", + CAST("release_year" AS INTEGER) AS "percentile_measure" +FROM "c17" +WHERE "release_year" IS NOT NULL + AND TRIM("release_year") <> '' +GROUP BY "release_year" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dab98556550bddcf55edc7ea4b6c40cb621ad10e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nSELECT\n \"release_year\",\n CAST(\"release_year\" AS INTEGER) AS \"percentile_measure\"\nFROM \"c17\"\nWHERE \"release_year\" IS NOT NULL\n AND TRIM(\"release_year\") <> ''\nGROUP BY \"release_year\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"release_year\\\",\\n CAST(\\\"release_year\\\" AS INTEGER) AS \\\"percentile_measure\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"release_year\\\" IS NOT NULL\\n AND TRIM(\\\"release_year\\\") <> ''\\nGROUP BY \\\"release_year\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"release_year\", \"percentile_measure\"], \"rows\": [{\"release_year\": \"2021\", \"percentile_measure\": 2021}, {\"release_year\": \"2020\", \"percentile_measure\": 2020}, {\"release_year\": \"2019\", \"percentile_measure\": 2019}, {\"release_year\": \"2018\", \"percentile_measure\": 2018}, {\"release_year\": \"2017\", \"percentile_measure\": 2017}, {\"release_year\": \"2016\", \"percentile_measure\": 2016}, {\"release_year\": \"2015\", \"percentile_measure\": 2015}, {\"release_year\": \"2014\", \"percentile_measure\": 2014}, {\"release_year\": \"2013\", \"percentile_measure\": 2013}, {\"release_year\": \"2012\", \"percentile_measure\": 2012}, {\"release_year\": \"2011\", \"percentile_measure\": 2011}, {\"release_year\": \"2010\", \"percentile_measure\": 2010}, {\"release_year\": \"2009\", \"percentile_measure\": 2009}, {\"release_year\": \"2008\", \"percentile_measure\": 2008}, {\"release_year\": \"2007\", \"percentile_measure\": 2007}, {\"release_year\": \"2006\", \"percentile_measure\": 2006}, {\"release_year\": \"2005\", \"percentile_measure\": 2005}, {\"release_year\": \"2004\", \"percentile_measure\": 2004}, {\"release_year\": \"2003\", \"percentile_measure\": 2003}, {\"release_year\": \"2002\", \"percentile_measure\": 2002}, {\"release_year\": \"2001\", \"percentile_measure\": 2001}, {\"release_year\": \"2000\", \"percentile_measure\": 2000}, {\"release_year\": \"1999\", \"percentile_measure\": 1999}, {\"release_year\": \"1998\", \"percentile_measure\": 1998}, {\"release_year\": \"1997\", \"percentile_measure\": 1997}, {\"release_year\": \"1996\", \"percentile_measure\": 1996}, {\"release_year\": \"1995\", \"percentile_measure\": 1995}, {\"release_year\": \"1994\", \"percentile_measure\": 1994}, {\"release_year\": \"1993\", \"percentile_measure\": 1993}, {\"release_year\": \"1992\", \"percentile_measure\": 1992}, {\"release_year\": \"1991\", \"percentile_measure\": 1991}, {\"release_year\": \"1990\", \"percentile_measure\": 1990}, {\"release_year\": \"1989\", \"percentile_measure\": 1989}, {\"release_year\": \"1988\", \"percentile_measure\": 1988}, {\"release_year\": \"1987\", \"percentile_measure\": 1987}, {\"release_year\": \"1986\", \"percentile_measure\": 1986}, {\"release_year\": \"1985\", \"percentile_measure\": 1985}, {\"release_year\": \"1984\", \"percentile_measure\": 1984}, {\"release_year\": \"1983\", \"percentile_measure\": 1983}, {\"release_year\": \"1982\", \"percentile_measure\": 1982}, {\"release_year\": \"1981\", \"percentile_measure\": 1981}, {\"release_year\": \"1980\", \"percentile_measure\": 1980}, {\"release_year\": \"1979\", \"percentile_measure\": 1979}, {\"release_year\": \"1978\", \"percentile_measure\": 1978}, {\"release_year\": \"1977\", \"percentile_measure\": 1977}, {\"release_year\": \"1976\", \"percentile_measure\": 1976}, {\"release_year\": \"1975\", \"percentile_measure\": 1975}, {\"release_year\": \"1974\", \"percentile_measure\": 1974}, {\"release_year\": \"1973\", \"percentile_measure\": 1973}, {\"release_year\": \"1972\", \"percentile_measure\": 1972}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9b7de0f2b19f78e5f44e8464e8a21a1bec3fcd21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:51:54.625431+00:00", + "ended_at": "2026-05-19T15:52:14.236494+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_aaff873cf057636a", + "problem_id": "v2p_c17_9052f734d14e43f0", + "dataset_id": "c17", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=release_year, measure_col=release_year.", + "bindings": { + "group_col": "release_year", + "measure_col": "release_year", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2018.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_aaff873cf057636a.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_aaff873cf057636a", + "api_calls": 0, + "input_tokens": 14685, + "cached_input_tokens": 12032, + "output_tokens": 1173, + "total_tokens": 15858, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19595.64, + "sql_execution_elapsed_ms_total": 7.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..87950d2c1b9ff9fc72f8e3cbdc9364c93bc9663c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:14.226678+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19595.64, "started_at": "2026-05-19T15:51:54.629933+00:00", "ended_at": "2026-05-19T15:52:14.225613+00:00", "prompt_metrics": {"chars": 9367, "bytes_utf8": 9369, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 544, "bytes_utf8": 544, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14685, "cached_input_tokens": 12032, "output_tokens": 1173, "reasoning_output_tokens": 1034}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"release_year\\\",\\n CAST(\\\"release_year\\\" AS INTEGER) AS \\\"percentile_measure\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"release_year\\\" IS NOT NULL\\n AND TRIM(\\\"release_year\\\") <> ''\\nGROUP BY \\\"release_year\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are \\\"release_year\\\", every group contains a single repeated measure value, so the 95th percentile for each group is the same as that group's release_year.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aed25ba754598d289c7b9eebe2bd15f885e3ca92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_aaff873cf057636a", + "api_calls": 0, + "input_tokens": 14685, + "cached_input_tokens": 12032, + "output_tokens": 1173, + "total_tokens": 15858, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19595.64, + "sql_execution_elapsed_ms_total": 7.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_aaff873cf057636a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a62a799dd9509f4e39afc63a38eaa5dc4e10dd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=type, measure_col=release_year. +Result preview: [{"type": "Movie", "group_value": 12342448.0}, {"type": "TV Show", "group_value": 5396437.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a761bc5b9a033f83909917b0d93d8ccaeb26af8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_c17_b5c13c4171d582ef +-- problem_id: v2p_c17_071f919e064e7854 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "type", SUM(CAST("release_year" AS REAL)) AS group_value + FROM "c17" + WHERE "release_year" IS NOT NULL AND "release_year" <> '' + GROUP BY "type" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."type", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84f9f25156acf39f52467b8a95cd599825d3bb5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"type\", SUM(CAST(\"release_year\" AS REAL)) AS group_value\n FROM \"c17\"\n WHERE \"release_year\" IS NOT NULL AND \"release_year\" <> ''\n GROUP BY \"type\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"type\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"type\\\", SUM(CAST(\\\"release_year\\\" AS REAL)) AS group_value\\n FROM \\\"c17\\\"\\n WHERE \\\"release_year\\\" IS NOT NULL AND \\\"release_year\\\" <> ''\\n GROUP BY \\\"type\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"type\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"type\", \"group_value\"], \"rows\": [{\"type\": \"Movie\", \"group_value\": 12342448.0}, {\"type\": \"TV Show\", \"group_value\": 5396437.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.97}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9c2f237b3cb944063b3295f83ece30710abbc9ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:45:18.719661+00:00", + "ended_at": "2026-05-19T15:45:30.204447+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_b5c13c4171d582ef", + "problem_id": "v2p_c17_071f919e064e7854", + "dataset_id": "c17", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=type, measure_col=release_year.", + "bindings": { + "group_col": "type", + "measure_col": "release_year", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2018.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_b5c13c4171d582ef.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_b5c13c4171d582ef", + "api_calls": 0, + "input_tokens": 14783, + "cached_input_tokens": 13696, + "output_tokens": 603, + "total_tokens": 15386, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11467.51, + "sql_execution_elapsed_ms_total": 9.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..458635d0cd6b7ec8ec056e59af3bfac642c239d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:30.192031+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11467.51, "started_at": "2026-05-19T15:45:18.722851+00:00", "ended_at": "2026-05-19T15:45:30.190392+00:00", "prompt_metrics": {"chars": 9727, "bytes_utf8": 9729, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 706, "bytes_utf8": 706, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14783, "cached_input_tokens": 13696, "output_tokens": 603, "reasoning_output_tokens": 421}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"type\\\", SUM(CAST(\\\"release_year\\\" AS REAL)) AS group_value\\n FROM \\\"c17\\\"\\n WHERE \\\"release_year\\\" IS NOT NULL AND \\\"release_year\\\" <> ''\\n GROUP BY \\\"type\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"type\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=type and measure_col=release_year. Cast \\\"release_year\\\" from TEXT to REAL for SQLite aggregation and filtered blank values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dec1544c9ce7e61d83dac3d3dda74c43880ccdc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_b5c13c4171d582ef", + "api_calls": 0, + "input_tokens": 14783, + "cached_input_tokens": 13696, + "output_tokens": 603, + "total_tokens": 15386, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11467.51, + "sql_execution_elapsed_ms_total": 9.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b5c13c4171d582ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..06f42104c8384f43df542628b19fc0a64c162e81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=rating, measure_col=release_year. +Result preview: [{"rating": "TV-14", "percentile_measure": 2021}, {"rating": "TV-G", "percentile_measure": 2021}, {"rating": "TV-MA", "percentile_measure": 2021}, {"rating": "TV-PG", "percentile_measure": 2021}, {"rating": "TV-Y", "percentile_measure": 2021}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d0364dea13d1f7233657df71409b7aacd491c608 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/generated_sql.sql @@ -0,0 +1,37 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c17_b7b08c05366d385d +-- problem_id: v2p_c17_e929afba1076a20b +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "rating", + CAST("release_year" AS INTEGER) AS "release_year_int", + CUME_DIST() OVER ( + PARTITION BY "rating" + ORDER BY CAST("release_year" AS INTEGER) + ) AS "cum_dist", + COUNT(*) OVER ( + PARTITION BY "rating" + ) AS "group_size" + FROM "c17" + WHERE "rating" IS NOT NULL + AND "rating" <> '' + AND "release_year" GLOB '[0-9][0-9][0-9][0-9]' +) +SELECT + "rating", + MIN("release_year_int") AS "percentile_measure" +FROM "ranked" +WHERE "cum_dist" >= 0.95 + AND "group_size" >= 5 +GROUP BY "rating" +ORDER BY "percentile_measure" DESC, "rating" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e4678848b49c7af3e8c28b8c60119131ff65a4ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"rating\",\n CAST(\"release_year\" AS INTEGER) AS \"release_year_int\",\n CUME_DIST() OVER (\n PARTITION BY \"rating\"\n ORDER BY CAST(\"release_year\" AS INTEGER)\n ) AS \"cum_dist\",\n COUNT(*) OVER (\n PARTITION BY \"rating\"\n ) AS \"group_size\"\n FROM \"c17\"\n WHERE \"rating\" IS NOT NULL\n AND \"rating\" <> ''\n AND \"release_year\" GLOB '[0-9][0-9][0-9][0-9]'\n)\nSELECT\n \"rating\",\n MIN(\"release_year_int\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.95\n AND \"group_size\" >= 5\nGROUP BY \"rating\"\nORDER BY \"percentile_measure\" DESC, \"rating\" ASC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"rating\\\",\\n CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_int\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"rating\\\"\\n ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n ) AS \\\"cum_dist\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"rating\\\"\\n ) AS \\\"group_size\\\"\\n FROM \\\"c17\\\"\\n WHERE \\\"rating\\\" IS NOT NULL\\n AND \\\"rating\\\" <> ''\\n AND \\\"release_year\\\" GLOB '[0-9][0-9][0-9][0-9]'\\n)\\nSELECT\\n \\\"rating\\\",\\n MIN(\\\"release_year_int\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.95\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"rating\\\" ASC;\", \"columns\": [\"rating\", \"percentile_measure\"], \"rows\": [{\"rating\": \"TV-14\", \"percentile_measure\": 2021}, {\"rating\": \"TV-G\", \"percentile_measure\": 2021}, {\"rating\": \"TV-MA\", \"percentile_measure\": 2021}, {\"rating\": \"TV-PG\", \"percentile_measure\": 2021}, {\"rating\": \"TV-Y\", \"percentile_measure\": 2021}, {\"rating\": \"TV-Y7\", \"percentile_measure\": 2021}, {\"rating\": \"PG\", \"percentile_measure\": 2020}, {\"rating\": \"PG-13\", \"percentile_measure\": 2020}, {\"rating\": \"R\", \"percentile_measure\": 2020}, {\"rating\": \"G\", \"percentile_measure\": 2018}, {\"rating\": \"TV-Y7-FV\", \"percentile_measure\": 2018}, {\"rating\": \"NR\", \"percentile_measure\": 2016}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 23.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..08d1136d6e673b9aa953fb8667eddf67887774f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:48:14.680204+00:00", + "ended_at": "2026-05-19T15:48:48.938934+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_b7b08c05366d385d", + "problem_id": "v2p_c17_e929afba1076a20b", + "dataset_id": "c17", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=rating, measure_col=release_year.", + "bindings": { + "group_col": "rating", + "measure_col": "release_year", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_b7b08c05366d385d.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_b7b08c05366d385d", + "api_calls": 0, + "input_tokens": 14683, + "cached_input_tokens": 12032, + "output_tokens": 2252, + "total_tokens": 16935, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 34230.08, + "sql_execution_elapsed_ms_total": 23.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..507708c23a76a0636814959cbe1719b7f2b7cf97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:48.913632+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 34230.08, "started_at": "2026-05-19T15:48:14.682181+00:00", "ended_at": "2026-05-19T15:48:48.912295+00:00", "prompt_metrics": {"chars": 9353, "bytes_utf8": 9355, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 958, "bytes_utf8": 958, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14683, "cached_input_tokens": 12032, "output_tokens": 2252, "reasoning_output_tokens": 1964}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"rating\\\",\\n CAST(\\\"release_year\\\" AS INTEGER) AS \\\"release_year_int\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"rating\\\"\\n ORDER BY CAST(\\\"release_year\\\" AS INTEGER)\\n ) AS \\\"cum_dist\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"rating\\\"\\n ) AS \\\"group_size\\\"\\n FROM \\\"c17\\\"\\n WHERE \\\"rating\\\" IS NOT NULL\\n AND \\\"rating\\\" <> ''\\n AND \\\"release_year\\\" GLOB '[0-9][0-9][0-9][0-9]'\\n)\\nSELECT\\n \\\"rating\\\",\\n MIN(\\\"release_year_int\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.95\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"rating\\\" ASC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST to compute a nearest-rank 95th percentile of integer-cast \\\"release_year\\\" for each non-empty \\\"rating\\\" group, keeping only groups with at least 5 rows.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..36e7deb25ba0b49dde65c479a38e84fa6ad965a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_b7b08c05366d385d", + "api_calls": 0, + "input_tokens": 14683, + "cached_input_tokens": 12032, + "output_tokens": 2252, + "total_tokens": 16935, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 34230.08, + "sql_execution_elapsed_ms_total": 23.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_b7b08c05366d385d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4307ee44a4e4987b41314c7c94fdc6d4104c8c3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=release_year, measure_col=release_year. +Result preview: [{"release_year": "2021", "percentile_measure": 2021}, {"release_year": "2020", "percentile_measure": 2020}, {"release_year": "2019", "percentile_measure": 2019}, {"release_year": "2018", "percentile_measure": 2018}, {"release_year": "2017", "percentile_measure": 2017}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b74af4265e8933f0600c6772bcf708f59bd0dd10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_c17_c6884bd73a9cd9cf +-- problem_id: v2p_c17_218e3ea46b259eb7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "release_year", + MAX(CAST("release_year" AS INTEGER)) AS percentile_measure +FROM "c17" +WHERE "release_year" IS NOT NULL + AND TRIM("release_year") <> '' +GROUP BY "release_year" +HAVING COUNT(*) >= 5 +ORDER BY percentile_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84603cfc21073170d43cda139b64762b69711cce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nSELECT\n \"release_year\",\n MAX(CAST(\"release_year\" AS INTEGER)) AS percentile_measure\nFROM \"c17\"\nWHERE \"release_year\" IS NOT NULL\n AND TRIM(\"release_year\") <> ''\nGROUP BY \"release_year\"\nHAVING COUNT(*) >= 5\nORDER BY percentile_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"release_year\\\",\\n MAX(CAST(\\\"release_year\\\" AS INTEGER)) AS percentile_measure\\nFROM \\\"c17\\\"\\nWHERE \\\"release_year\\\" IS NOT NULL\\n AND TRIM(\\\"release_year\\\") <> ''\\nGROUP BY \\\"release_year\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY percentile_measure DESC;\", \"columns\": [\"release_year\", \"percentile_measure\"], \"rows\": [{\"release_year\": \"2021\", \"percentile_measure\": 2021}, {\"release_year\": \"2020\", \"percentile_measure\": 2020}, {\"release_year\": \"2019\", \"percentile_measure\": 2019}, {\"release_year\": \"2018\", \"percentile_measure\": 2018}, {\"release_year\": \"2017\", \"percentile_measure\": 2017}, {\"release_year\": \"2016\", \"percentile_measure\": 2016}, {\"release_year\": \"2015\", \"percentile_measure\": 2015}, {\"release_year\": \"2014\", \"percentile_measure\": 2014}, {\"release_year\": \"2013\", \"percentile_measure\": 2013}, {\"release_year\": \"2012\", \"percentile_measure\": 2012}, {\"release_year\": \"2011\", \"percentile_measure\": 2011}, {\"release_year\": \"2010\", \"percentile_measure\": 2010}, {\"release_year\": \"2009\", \"percentile_measure\": 2009}, {\"release_year\": \"2008\", \"percentile_measure\": 2008}, {\"release_year\": \"2007\", \"percentile_measure\": 2007}, {\"release_year\": \"2006\", \"percentile_measure\": 2006}, {\"release_year\": \"2005\", \"percentile_measure\": 2005}, {\"release_year\": \"2004\", \"percentile_measure\": 2004}, {\"release_year\": \"2003\", \"percentile_measure\": 2003}, {\"release_year\": \"2002\", \"percentile_measure\": 2002}, {\"release_year\": \"2001\", \"percentile_measure\": 2001}, {\"release_year\": \"2000\", \"percentile_measure\": 2000}, {\"release_year\": \"1999\", \"percentile_measure\": 1999}, {\"release_year\": \"1998\", \"percentile_measure\": 1998}, {\"release_year\": \"1997\", \"percentile_measure\": 1997}, {\"release_year\": \"1996\", \"percentile_measure\": 1996}, {\"release_year\": \"1995\", \"percentile_measure\": 1995}, {\"release_year\": \"1994\", \"percentile_measure\": 1994}, {\"release_year\": \"1993\", \"percentile_measure\": 1993}, {\"release_year\": \"1992\", \"percentile_measure\": 1992}, {\"release_year\": \"1991\", \"percentile_measure\": 1991}, {\"release_year\": \"1990\", \"percentile_measure\": 1990}, {\"release_year\": \"1989\", \"percentile_measure\": 1989}, {\"release_year\": \"1988\", \"percentile_measure\": 1988}, {\"release_year\": \"1987\", \"percentile_measure\": 1987}, {\"release_year\": \"1986\", \"percentile_measure\": 1986}, {\"release_year\": \"1985\", \"percentile_measure\": 1985}, {\"release_year\": \"1984\", \"percentile_measure\": 1984}, {\"release_year\": \"1983\", \"percentile_measure\": 1983}, {\"release_year\": \"1982\", \"percentile_measure\": 1982}, {\"release_year\": \"1981\", \"percentile_measure\": 1981}, {\"release_year\": \"1980\", \"percentile_measure\": 1980}, {\"release_year\": \"1979\", \"percentile_measure\": 1979}, {\"release_year\": \"1978\", \"percentile_measure\": 1978}, {\"release_year\": \"1977\", \"percentile_measure\": 1977}, {\"release_year\": \"1976\", \"percentile_measure\": 1976}, {\"release_year\": \"1975\", \"percentile_measure\": 1975}, {\"release_year\": \"1974\", \"percentile_measure\": 1974}, {\"release_year\": \"1973\", \"percentile_measure\": 1973}, {\"release_year\": \"1972\", \"percentile_measure\": 1972}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0d78a5721ada5cf63a4bdf520b3baef6f7c4fc57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:48:00.788505+00:00", + "ended_at": "2026-05-19T15:48:14.679645+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_c6884bd73a9cd9cf", + "problem_id": "v2p_c17_218e3ea46b259eb7", + "dataset_id": "c17", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=release_year, measure_col=release_year.", + "bindings": { + "group_col": "release_year", + "measure_col": "release_year", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2018.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_c6884bd73a9cd9cf.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_c6884bd73a9cd9cf", + "api_calls": 0, + "input_tokens": 14685, + "cached_input_tokens": 13696, + "output_tokens": 685, + "total_tokens": 15370, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13879.6, + "sql_execution_elapsed_ms_total": 6.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b3503b0bdde9e7cd1b1ce707a9d4a420e59c00e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:14.672005+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13879.6, "started_at": "2026-05-19T15:48:00.791578+00:00", "ended_at": "2026-05-19T15:48:14.671212+00:00", "prompt_metrics": {"chars": 9367, "bytes_utf8": 9369, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 699, "bytes_utf8": 699, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14685, "cached_input_tokens": 13696, "output_tokens": 685, "reasoning_output_tokens": 513}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"release_year\\\",\\n MAX(CAST(\\\"release_year\\\" AS INTEGER)) AS percentile_measure\\nFROM \\\"c17\\\"\\nWHERE \\\"release_year\\\" IS NOT NULL\\n AND TRIM(\\\"release_year\\\") <> ''\\nGROUP BY \\\"release_year\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because the grouping column and measure column are both \\\"release_year\\\", every value within a group is identical, so the 95th percentile for each group equals that release_year value; MAX(CAST(\\\"release_year\\\" AS INTEGER)) is a SQLite-compatible equivalent. Included HAVING COUNT(*) >= 5 from the provided min_group_size binding.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..78491d6d57ec0294e94e68c2dbc7989ad9e5e812 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_c6884bd73a9cd9cf", + "api_calls": 0, + "input_tokens": 14685, + "cached_input_tokens": 13696, + "output_tokens": 685, + "total_tokens": 15370, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13879.6, + "sql_execution_elapsed_ms_total": 6.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_c6884bd73a9cd9cf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc8662d75434d9ba1f59032e36f7e0f572aee6ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=type, group_col_2=rating. +Result preview: [{"type": "Movie", "rating": "TV-MA", "row_count": 47}, {"type": "Movie", "rating": "TV-14", "row_count": 26}, {"type": "Movie", "rating": "R", "row_count": 23}, {"type": "Movie", "rating": "PG", "row_count": 16}, {"type": "Movie", "rating": "TV-PG", "row_count": 15}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2b2446f65353d2e81d2803e5abc6b3e1dd6c9661 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_c17_d170fb14ca45307b +-- problem_id: v2p_c17_eb2719e8502b27da +-- realization_mode: agent +-- source_kind: agent +SELECT "type", "rating", COUNT(*) AS "row_count" +FROM "c17" +WHERE "duration" = '91 min' +GROUP BY "type", "rating" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a2c5c0d7b9965da5d097143276df35b8f4e42f84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"type\", \"rating\", COUNT(*) AS \"row_count\"\nFROM \"c17\"\nWHERE \"duration\" = '91 min'\nGROUP BY \"type\", \"rating\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"type\\\", \\\"rating\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"duration\\\" = '91 min'\\nGROUP BY \\\"type\\\", \\\"rating\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"type\", \"rating\", \"row_count\"], \"rows\": [{\"type\": \"Movie\", \"rating\": \"TV-MA\", \"row_count\": 47}, {\"type\": \"Movie\", \"rating\": \"TV-14\", \"row_count\": 26}, {\"type\": \"Movie\", \"rating\": \"R\", \"row_count\": 23}, {\"type\": \"Movie\", \"rating\": \"PG\", \"row_count\": 16}, {\"type\": \"Movie\", \"rating\": \"TV-PG\", \"row_count\": 15}, {\"type\": \"Movie\", \"rating\": \"PG-13\", \"row_count\": 13}, {\"type\": \"Movie\", \"rating\": \"TV-Y7\", \"row_count\": 2}, {\"type\": \"Movie\", \"rating\": \"NR\", \"row_count\": 1}, {\"type\": \"Movie\", \"rating\": \"TV-Y\", \"row_count\": 1}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c0d39fbf1bc491432b3b4a951b019791dc5d6fad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:40:48.046530+00:00", + "ended_at": "2026-05-19T15:41:05.438768+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_d170fb14ca45307b", + "problem_id": "v2p_c17_eb2719e8502b27da", + "dataset_id": "c17", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=type, group_col_2=rating.", + "bindings": { + "group_col": "type", + "group_col_2": "rating", + "predicate_col": "duration", + "predicate_op": "=", + "predicate_value": "91 min", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=55" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_d170fb14ca45307b.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_d170fb14ca45307b", + "api_calls": 0, + "input_tokens": 14735, + "cached_input_tokens": 13696, + "output_tokens": 533, + "total_tokens": 15268, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17379.18, + "sql_execution_elapsed_ms_total": 5.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b2b6ba44babcf4c97a873efddd8be300c340e7bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:05.430551+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17379.18, "started_at": "2026-05-19T15:40:48.049662+00:00", "ended_at": "2026-05-19T15:41:05.428884+00:00", "prompt_metrics": {"chars": 9471, "bytes_utf8": 9473, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 363, "bytes_utf8": 363, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14735, "cached_input_tokens": 13696, "output_tokens": 533, "reasoning_output_tokens": 428}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"type\\\", \\\"rating\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"c17\\\"\\nWHERE \\\"duration\\\" = '91 min'\\nGROUP BY \\\"type\\\", \\\"rating\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the provided Filtered Two-Dimensional Group Count template using \\\"type\\\" and \\\"rating\\\", filtered on \\\"duration\\\" = '91 min'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3f69dd064f6b0a0525ed325f100f4dbb4bc28bb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_d170fb14ca45307b", + "api_calls": 0, + "input_tokens": 14735, + "cached_input_tokens": 13696, + "output_tokens": 533, + "total_tokens": 15268, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17379.18, + "sql_execution_elapsed_ms_total": 5.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d170fb14ca45307b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3afb3377a89f0c8b701e2c6211b8588e064c1659 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=release_year, measure_col=release_year. +Result preview: [{"release_year": "2021", "avg_measure": 2021.0}, {"release_year": "2020", "avg_measure": 2020.0}, {"release_year": "2019", "avg_measure": 2019.0}, {"release_year": "2018", "avg_measure": 2018.0}, {"release_year": "2017", "avg_measure": 2017.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6683e502ad1b9f2e508b312073231ba3c6e68e9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_c17_d81083cc49ca61ad +-- problem_id: v2p_c17_f63b3cf4c8f023e4 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "release_year", + AVG(CAST("release_year" AS REAL)) OVER (PARTITION BY "release_year") AS "avg_measure" +FROM "c17" +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2b4a895430b9a289769489b8408258b36f18cbf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"release_year\",\n AVG(CAST(\"release_year\" AS REAL)) OVER (PARTITION BY \"release_year\") AS \"avg_measure\"\nFROM \"c17\"\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"release_year\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"release_year\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c17\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"release_year\", \"avg_measure\"], \"rows\": [{\"release_year\": \"2021\", \"avg_measure\": 2021.0}, {\"release_year\": \"2020\", \"avg_measure\": 2020.0}, {\"release_year\": \"2019\", \"avg_measure\": 2019.0}, {\"release_year\": \"2018\", \"avg_measure\": 2018.0}, {\"release_year\": \"2017\", \"avg_measure\": 2017.0}, {\"release_year\": \"2016\", \"avg_measure\": 2016.0}, {\"release_year\": \"2015\", \"avg_measure\": 2015.0}, {\"release_year\": \"2014\", \"avg_measure\": 2014.0}, {\"release_year\": \"2013\", \"avg_measure\": 2013.0}, {\"release_year\": \"2012\", \"avg_measure\": 2012.0}, {\"release_year\": \"2011\", \"avg_measure\": 2011.0}, {\"release_year\": \"2010\", \"avg_measure\": 2010.0}, {\"release_year\": \"2009\", \"avg_measure\": 2009.0}, {\"release_year\": \"2008\", \"avg_measure\": 2008.0}, {\"release_year\": \"2007\", \"avg_measure\": 2007.0}, {\"release_year\": \"2006\", \"avg_measure\": 2006.0}, {\"release_year\": \"2005\", \"avg_measure\": 2005.0}, {\"release_year\": \"2004\", \"avg_measure\": 2004.0}, {\"release_year\": \"2003\", \"avg_measure\": 2003.0}, {\"release_year\": \"2002\", \"avg_measure\": 2002.0}, {\"release_year\": \"2001\", \"avg_measure\": 2001.0}, {\"release_year\": \"2000\", \"avg_measure\": 2000.0}, {\"release_year\": \"1999\", \"avg_measure\": 1999.0}, {\"release_year\": \"1998\", \"avg_measure\": 1998.0}, {\"release_year\": \"1997\", \"avg_measure\": 1997.0}, {\"release_year\": \"1996\", \"avg_measure\": 1996.0}, {\"release_year\": \"1995\", \"avg_measure\": 1995.0}, {\"release_year\": \"1994\", \"avg_measure\": 1994.0}, {\"release_year\": \"1993\", \"avg_measure\": 1993.0}, {\"release_year\": \"1992\", \"avg_measure\": 1992.0}, {\"release_year\": \"1991\", \"avg_measure\": 1991.0}, {\"release_year\": \"1990\", \"avg_measure\": 1990.0}, {\"release_year\": \"1989\", \"avg_measure\": 1989.0}, {\"release_year\": \"1988\", \"avg_measure\": 1988.0}, {\"release_year\": \"1987\", \"avg_measure\": 1987.0}, {\"release_year\": \"1986\", \"avg_measure\": 1986.0}, {\"release_year\": \"1985\", \"avg_measure\": 1985.0}, {\"release_year\": \"1984\", \"avg_measure\": 1984.0}, {\"release_year\": \"1983\", \"avg_measure\": 1983.0}, {\"release_year\": \"1982\", \"avg_measure\": 1982.0}, {\"release_year\": \"1981\", \"avg_measure\": 1981.0}, {\"release_year\": \"1980\", \"avg_measure\": 1980.0}, {\"release_year\": \"1979\", \"avg_measure\": 1979.0}, {\"release_year\": \"1978\", \"avg_measure\": 1978.0}, {\"release_year\": \"1977\", \"avg_measure\": 1977.0}, {\"release_year\": \"1976\", \"avg_measure\": 1976.0}, {\"release_year\": \"1975\", \"avg_measure\": 1975.0}, {\"release_year\": \"1974\", \"avg_measure\": 1974.0}, {\"release_year\": \"1973\", \"avg_measure\": 1973.0}, {\"release_year\": \"1972\", \"avg_measure\": 1972.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 21.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..74302307527c43b6c27088d7eb4cdacae1597830 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:02:23.692755+00:00", + "ended_at": "2026-05-19T16:02:42.811500+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_d81083cc49ca61ad", + "problem_id": "v2p_c17_f63b3cf4c8f023e4", + "dataset_id": "c17", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=release_year, measure_col=release_year.", + "bindings": { + "group_col": "release_year", + "measure_col": "release_year", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_d81083cc49ca61ad.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_d81083cc49ca61ad", + "api_calls": 0, + "input_tokens": 14657, + "cached_input_tokens": 12032, + "output_tokens": 643, + "total_tokens": 15300, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18087.77, + "sql_execution_elapsed_ms_total": 21.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6ac65e4157b85a21e56203b1e68ad96aa6293a2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:02:26.980447+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": 3283.53, "started_at": "2026-05-19T16:02:23.696119+00:00", "ended_at": "2026-05-19T16:02:26.979677+00:00", "prompt_metrics": {"chars": 9267, "bytes_utf8": 9269, "lines": 240, "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\":\"019e40f9-5a4c-7351-b27d-2e67cd824c3e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:02:42.788094+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": 14804.24, "started_at": "2026-05-19T16:02:27.982576+00:00", "ended_at": "2026-05-19T16:02:42.786876+00:00", "prompt_metrics": {"chars": 9267, "bytes_utf8": 9269, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 561, "bytes_utf8": 561, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14657, "cached_input_tokens": 12032, "output_tokens": 643, "reasoning_output_tokens": 514}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"release_year\\\",\\n AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"release_year\\\") AS \\\"avg_measure\\\"\\nFROM \\\"c17\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the provided Window Partition Average template with group_col=\\\"release_year\\\" and measure_col=\\\"release_year\\\". CAST to REAL ensures SQLite averages numeric year values stored as TEXT; because the partition key and measure are the same column, each partition's average equals that release_year's numeric value.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e00b68d1ab7c2b20b58bbd2cdce9d96eb8ec4d86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_d81083cc49ca61ad", + "api_calls": 0, + "input_tokens": 14657, + "cached_input_tokens": 12032, + "output_tokens": 643, + "total_tokens": 15300, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18087.77, + "sql_execution_elapsed_ms_total": 21.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_d81083cc49ca61ad/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..927933da89dca6d72c68c634c63227065a0faba2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=rating, measure_col=release_year. +Result preview: [{"rating": "TV-MA", "total_measure": 6467434}, {"rating": "TV-14", "total_measure": 4349496}, {"rating": "TV-PG", "total_measure": 1737676}, {"rating": "R", "total_measure": 1606367}, {"rating": "PG-13", "total_measure": 984564}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ca732fa79970780c0158c10009ed602cf4d0ab5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_c17_da51c0affede7910 +-- problem_id: v2p_c17_c74c30d5d286c46f +-- realization_mode: agent +-- source_kind: agent +SELECT "rating", SUM(CAST("release_year" AS INTEGER)) AS total_measure +FROM "c17" +GROUP BY "rating" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..12ba6e1ec64aef751e38a5d5b70e744d4dc0c460 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"rating\", SUM(CAST(\"release_year\" AS INTEGER)) AS total_measure\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"rating\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"rating\", \"total_measure\"], \"rows\": [{\"rating\": \"TV-MA\", \"total_measure\": 6467434}, {\"rating\": \"TV-14\", \"total_measure\": 4349496}, {\"rating\": \"TV-PG\", \"total_measure\": 1737676}, {\"rating\": \"R\", \"total_measure\": 1606367}, {\"rating\": \"PG-13\", \"total_measure\": 984564}, {\"rating\": \"TV-Y7\", \"total_measure\": 673180}, {\"rating\": \"TV-Y\", \"total_measure\": 619268}, {\"rating\": \"PG\", \"total_measure\": 576419}, {\"rating\": \"TV-G\", \"total_measure\": 443464}, {\"rating\": \"NR\", \"total_measure\": 160873}, {\"rating\": \"G\", \"total_measure\": 81910}, {\"rating\": \"TV-Y7-FV\", \"total_measure\": 12089}, {\"rating\": \"\", \"total_measure\": 8060}, {\"rating\": \"NC-17\", \"total_measure\": 6045}, {\"rating\": \"UR\", \"total_measure\": 5998}, {\"rating\": \"74 min\", \"total_measure\": 2017}, {\"rating\": \"66 min\", \"total_measure\": 2015}, {\"rating\": \"84 min\", \"total_measure\": 2010}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.73}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d160e8e63c66ad66a912a765d847dbd119ad98f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:30:20.067690+00:00", + "ended_at": "2026-05-19T15:30:47.777858+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_da51c0affede7910", + "problem_id": "v2p_c17_c74c30d5d286c46f", + "dataset_id": "c17", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=rating, measure_col=release_year.", + "bindings": { + "group_col": "rating", + "measure_col": "release_year", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_da51c0affede7910.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_da51c0affede7910", + "api_calls": 0, + "input_tokens": 14645, + "cached_input_tokens": 12032, + "output_tokens": 395, + "total_tokens": 15040, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 27690.85, + "sql_execution_elapsed_ms_total": 10.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..22f05a4872053b1abb6e49ca7578fc8db4ab30fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:47.764506+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 27690.85, "started_at": "2026-05-19T15:30:20.072002+00:00", "ended_at": "2026-05-19T15:30:47.762894+00:00", "prompt_metrics": {"chars": 9174, "bytes_utf8": 9176, "lines": 240, "estimated_tokens": null}, "response_metrics": {"chars": 374, "bytes_utf8": 374, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14645, "cached_input_tokens": 12032, "output_tokens": 395, "reasoning_output_tokens": 298}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"rating\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped numeric sum template with group_col=\\\"rating\\\" and measure_col=\\\"release_year\\\". CAST is applied because \\\"release_year\\\" is stored as TEXT in the schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9a9da9262f8123597c002fc3596bdfbef439c2c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_da51c0affede7910", + "api_calls": 0, + "input_tokens": 14645, + "cached_input_tokens": 12032, + "output_tokens": 395, + "total_tokens": 15040, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 27690.85, + "sql_execution_elapsed_ms_total": 10.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_da51c0affede7910/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..022b43b360cce18b23eb527b2bebdc837accd6cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"duration": "1 Season", "total_rows": 1793, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "2 Seasons", "total_rows": 425, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "3 Seasons", "total_rows": 199, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "90 min", "total_rows": 152, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "93 min", "total_rows": 146, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1bf0d2dc665ba529605f0ba4fbf54c808f246a69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c17_daf72b40a62eeab0 +-- problem_id: v2p_c17_7344c93f8b68a723 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "duration", + COUNT(*) AS total_rows, + SUM(CASE WHEN "country" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "country" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c17" +GROUP BY "duration" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fbe755eee6634bf03cb09dfea217cae4aa0713b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c17\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c17_daf72b40a62eeab0\n-- problem_id: v2p_c17_7344c93f8b68a723\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"duration\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"country\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"country\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c17\"\nGROUP BY \"duration\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c17\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c17_daf72b40a62eeab0\\n-- problem_id: v2p_c17_7344c93f8b68a723\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"duration\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"country\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"country\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"duration\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"duration\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"duration\": \"1 Season\", \"total_rows\": 1793, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"2 Seasons\", \"total_rows\": 425, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"3 Seasons\", \"total_rows\": 199, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"90 min\", \"total_rows\": 152, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"93 min\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"94 min\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"97 min\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"91 min\", \"total_rows\": 144, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"95 min\", \"total_rows\": 137, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"96 min\", \"total_rows\": 130, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"92 min\", \"total_rows\": 129, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"102 min\", \"total_rows\": 122, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"98 min\", \"total_rows\": 120, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"99 min\", \"total_rows\": 118, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"101 min\", \"total_rows\": 116, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"88 min\", \"total_rows\": 116, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"103 min\", \"total_rows\": 114, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"106 min\", \"total_rows\": 111, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"100 min\", \"total_rows\": 108, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"89 min\", \"total_rows\": 106, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"104 min\", \"total_rows\": 104, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"86 min\", \"total_rows\": 103, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"105 min\", \"total_rows\": 101, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"87 min\", \"total_rows\": 101, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"107 min\", \"total_rows\": 98, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"110 min\", \"total_rows\": 97, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"4 Seasons\", \"total_rows\": 95, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"108 min\", \"total_rows\": 87, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"116 min\", \"total_rows\": 80, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"112 min\", \"total_rows\": 74, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"85 min\", \"total_rows\": 73, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"109 min\", \"total_rows\": 69, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"113 min\", \"total_rows\": 69, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"111 min\", \"total_rows\": 68, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"84 min\", \"total_rows\": 67, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"118 min\", \"total_rows\": 65, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"5 Seasons\", \"total_rows\": 65, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"83 min\", \"total_rows\": 65, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"119 min\", \"total_rows\": 63, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"81 min\", \"total_rows\": 62, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"115 min\", \"total_rows\": 61, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"117 min\", \"total_rows\": 61, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"114 min\", \"total_rows\": 56, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"120 min\", \"total_rows\": 56, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"121 min\", \"total_rows\": 54, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"124 min\", \"total_rows\": 52, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"82 min\", \"total_rows\": 52, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"127 min\", \"total_rows\": 48, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"122 min\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"78 min\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.63}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3d86b9df1be4c74aedf71f73bfcc5f42266bc749 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:03:15.360922+00:00", + "ended_at": "2026-05-19T16:03:15.367324+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_daf72b40a62eeab0", + "problem_id": "v2p_c17_7344c93f8b68a723", + "dataset_id": "c17", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=duration, missing_col=country.", + "bindings": { + "missing_col": "country", + "group_col": "duration" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_daf72b40a62eeab0.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_daf72b40a62eeab0/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..022b43b360cce18b23eb527b2bebdc837accd6cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"duration": "1 Season", "total_rows": 1793, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "2 Seasons", "total_rows": 425, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "3 Seasons", "total_rows": 199, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "90 min", "total_rows": 152, "missing_rows": 0, "missing_rate": 0.0}, {"duration": "93 min", "total_rows": 146, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..02b05348509e0780abc900a2aff02984d4039a49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: missingness_structure +-- canonical_subitem_id: co_missingness_pattern_consistency +-- intended_facet_id: missing_rate_by_subgroup +-- variant_semantic_role: missing_rate_by_subgroup +-- template_id: tpl_missing_rate_by_subgroup +-- query_record_id: v2q_c17_dfef4d6eaf37190f +-- problem_id: v2p_c17_c8affb14b194cc12 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "duration", + COUNT(*) AS total_rows, + SUM(CASE WHEN "rating" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "rating" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c17" +GROUP BY "duration" +ORDER BY missing_rate DESC, total_rows DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e64e7ec778a534e2b30afad72eefd73846d5c280 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c17\n-- family_id: missingness_structure\n-- canonical_subitem_id: co_missingness_pattern_consistency\n-- intended_facet_id: missing_rate_by_subgroup\n-- variant_semantic_role: missing_rate_by_subgroup\n-- template_id: tpl_missing_rate_by_subgroup\n-- query_record_id: v2q_c17_dfef4d6eaf37190f\n-- problem_id: v2p_c17_c8affb14b194cc12\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"duration\",\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"rating\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"rating\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c17\"\nGROUP BY \"duration\"\nORDER BY missing_rate DESC, total_rows DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c17\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: co_missingness_pattern_consistency\\n-- intended_facet_id: missing_rate_by_subgroup\\n-- variant_semantic_role: missing_rate_by_subgroup\\n-- template_id: tpl_missing_rate_by_subgroup\\n-- query_record_id: v2q_c17_dfef4d6eaf37190f\\n-- problem_id: v2p_c17_c8affb14b194cc12\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"duration\\\",\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"rating\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"rating\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c17\\\"\\nGROUP BY \\\"duration\\\"\\nORDER BY missing_rate DESC, total_rows DESC;\", \"columns\": [\"duration\", \"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"duration\": \"1 Season\", \"total_rows\": 1793, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"2 Seasons\", \"total_rows\": 425, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"3 Seasons\", \"total_rows\": 199, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"90 min\", \"total_rows\": 152, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"93 min\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"94 min\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"97 min\", \"total_rows\": 146, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"91 min\", \"total_rows\": 144, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"95 min\", \"total_rows\": 137, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"96 min\", \"total_rows\": 130, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"92 min\", \"total_rows\": 129, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"102 min\", \"total_rows\": 122, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"98 min\", \"total_rows\": 120, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"99 min\", \"total_rows\": 118, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"101 min\", \"total_rows\": 116, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"88 min\", \"total_rows\": 116, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"103 min\", \"total_rows\": 114, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"106 min\", \"total_rows\": 111, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"100 min\", \"total_rows\": 108, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"89 min\", \"total_rows\": 106, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"104 min\", \"total_rows\": 104, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"86 min\", \"total_rows\": 103, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"105 min\", \"total_rows\": 101, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"87 min\", \"total_rows\": 101, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"107 min\", \"total_rows\": 98, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"110 min\", \"total_rows\": 97, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"4 Seasons\", \"total_rows\": 95, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"108 min\", \"total_rows\": 87, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"116 min\", \"total_rows\": 80, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"112 min\", \"total_rows\": 74, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"85 min\", \"total_rows\": 73, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"109 min\", \"total_rows\": 69, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"113 min\", \"total_rows\": 69, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"111 min\", \"total_rows\": 68, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"84 min\", \"total_rows\": 67, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"118 min\", \"total_rows\": 65, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"5 Seasons\", \"total_rows\": 65, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"83 min\", \"total_rows\": 65, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"119 min\", \"total_rows\": 63, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"81 min\", \"total_rows\": 62, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"115 min\", \"total_rows\": 61, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"117 min\", \"total_rows\": 61, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"114 min\", \"total_rows\": 56, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"120 min\", \"total_rows\": 56, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"121 min\", \"total_rows\": 54, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"124 min\", \"total_rows\": 52, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"82 min\", \"total_rows\": 52, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"127 min\", \"total_rows\": 48, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"122 min\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}, {\"duration\": \"78 min\", \"total_rows\": 45, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5ef24cd7d1e3a03828c8d4565af3cc454c7cf012 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/run_manifest.json @@ -0,0 +1,59 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:03:15.384726+00:00", + "ended_at": "2026-05-19T16:03:15.390899+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_dfef4d6eaf37190f", + "problem_id": "v2p_c17_c8affb14b194cc12", + "dataset_id": "c17", + "template_id": "tpl_missing_rate_by_subgroup", + "template_name": "Missing Rate by Subgroup", + "family_id": "missingness_structure", + "canonical_subitem_id": "co_missingness_pattern_consistency", + "intended_facet_id": "missing_rate_by_subgroup", + "variant_semantic_role": "missing_rate_by_subgroup", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Missing Rate by Subgroup to probe co_missingness_pattern_consistency with semantic role missing_rate_by_subgroup. Focus on group_col=duration, missing_col=rating.", + "bindings": { + "missing_col": "rating", + "group_col": "duration" + }, + "binding_roles": [ + "missing_col", + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY missing_rate DESC, total_rows DESC;", + "notes": [ + "default_facets=missing_rate_by_subgroup,missing_target_interaction", + "template_selection_mode=deterministic", + "problem_index_within_template=11", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_dfef4d6eaf37190f.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_dfef4d6eaf37190f/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d17a3cc5e068ab0131f0ab52aaaabad8c26beb15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=type, group_col_2=rating. +Result preview: [{"type": "TV Show", "rating": "TV-MA", "row_count": 623}, {"type": "Movie", "rating": "TV-MA", "row_count": 616}, {"type": "Movie", "rating": "TV-14", "row_count": 324}, {"type": "TV Show", "rating": "TV-14", "row_count": 253}, {"type": "Movie", "rating": "TV-PG", "row_count": 128}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6990a261acb6467aa9fd7a4704cf29d33d0ec545 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_c17_e531f100c2557a12 +-- problem_id: v2p_c17_e1ac564ca8b362c1 +-- realization_mode: agent +-- source_kind: agent +SELECT "type", "rating", COUNT(*) AS row_count +FROM "c17" +WHERE CAST("release_year" AS INTEGER) >= 2019 +GROUP BY "type", "rating" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2920273f2830a32d893582185405df6f6471d863 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"type\", \"rating\", COUNT(*) AS row_count\nFROM \"c17\"\nWHERE CAST(\"release_year\" AS INTEGER) >= 2019\nGROUP BY \"type\", \"rating\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"type\\\", \\\"rating\\\", COUNT(*) AS row_count\\nFROM \\\"c17\\\"\\nWHERE CAST(\\\"release_year\\\" AS INTEGER) >= 2019\\nGROUP BY \\\"type\\\", \\\"rating\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"type\", \"rating\", \"row_count\"], \"rows\": [{\"type\": \"TV Show\", \"rating\": \"TV-MA\", \"row_count\": 623}, {\"type\": \"Movie\", \"rating\": \"TV-MA\", \"row_count\": 616}, {\"type\": \"Movie\", \"rating\": \"TV-14\", \"row_count\": 324}, {\"type\": \"TV Show\", \"rating\": \"TV-14\", \"row_count\": 253}, {\"type\": \"Movie\", \"rating\": \"TV-PG\", \"row_count\": 128}, {\"type\": \"Movie\", \"rating\": \"R\", \"row_count\": 108}, {\"type\": \"TV Show\", \"rating\": \"TV-PG\", \"row_count\": 95}, {\"type\": \"TV Show\", \"rating\": \"TV-Y\", \"row_count\": 70}, {\"type\": \"TV Show\", \"rating\": \"TV-Y7\", \"row_count\": 68}, {\"type\": \"Movie\", \"rating\": \"TV-Y\", \"row_count\": 65}, {\"type\": \"Movie\", \"rating\": \"PG-13\", \"row_count\": 54}, {\"type\": \"Movie\", \"rating\": \"TV-G\", \"row_count\": 50}, {\"type\": \"Movie\", \"rating\": \"TV-Y7\", \"row_count\": 42}, {\"type\": \"TV Show\", \"rating\": \"TV-G\", \"row_count\": 39}, {\"type\": \"Movie\", \"rating\": \"PG\", \"row_count\": 38}, {\"type\": \"Movie\", \"rating\": \"G\", \"row_count\": 2}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..65c56748a41893c3647e336fc2e1248419f7cc71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:39:39.602176+00:00", + "ended_at": "2026-05-19T15:39:51.708305+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_e531f100c2557a12", + "problem_id": "v2p_c17_e1ac564ca8b362c1", + "dataset_id": "c17", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=type, group_col_2=rating.", + "bindings": { + "group_col": "type", + "group_col_2": "rating", + "predicate_col": "release_year", + "predicate_op": ">=", + "predicate_value": 2019.0, + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=49" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_e531f100c2557a12.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_e531f100c2557a12", + "api_calls": 0, + "input_tokens": 14739, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 15120, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12096.55, + "sql_execution_elapsed_ms_total": 4.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c77daa024cd7d8766106a1fabcc944dccd7ca83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:51.702394+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12096.55, "started_at": "2026-05-19T15:39:39.604190+00:00", "ended_at": "2026-05-19T15:39:51.700769+00:00", "prompt_metrics": {"chars": 9474, "bytes_utf8": 9476, "lines": 244, "estimated_tokens": null}, "response_metrics": {"chars": 469, "bytes_utf8": 469, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14739, "cached_input_tokens": 12032, "output_tokens": 381, "reasoning_output_tokens": 259}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"type\\\", \\\"rating\\\", COUNT(*) AS row_count\\nFROM \\\"c17\\\"\\nWHERE CAST(\\\"release_year\\\" AS INTEGER) >= 2019\\nGROUP BY \\\"type\\\", \\\"rating\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned filtered two-dimensional group count template with group_col=\\\"type\\\", group_col_2=\\\"rating\\\", and predicate_col=\\\"release_year\\\". CAST is applied because \\\"release_year\\\" is stored as TEXT in the schema snapshot.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6c020ddf42c022bbac4f4657c7a84cbdef77a8fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_e531f100c2557a12", + "api_calls": 0, + "input_tokens": 14739, + "cached_input_tokens": 12032, + "output_tokens": 381, + "total_tokens": 15120, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12096.55, + "sql_execution_elapsed_ms_total": 4.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_e531f100c2557a12/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b88afe5c718de52302cfcf37eb6e2b2355f4f2a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=type. +Result preview: [{"type": "TV Show", "support": 2676}, {"type": "Movie", "support": 6131}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed751a11f2191ec43e0889b607187139e89433b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_c17_ea0f78a371f42d6d +-- problem_id: v2p_c17_13fab5e104feda5a +-- realization_mode: agent +-- source_kind: agent +SELECT + "type", + COUNT(*) AS "support" +FROM "c17" +GROUP BY "type" +ORDER BY "support" ASC, "type" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..33ff6606f11fde7921bfbefa7089f78b4eee799a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"type\",\n COUNT(*) AS \"support\"\nFROM \"c17\"\nGROUP BY \"type\"\nORDER BY \"support\" ASC, \"type\"\nLIMIT 10;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"type\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY \\\"support\\\" ASC, \\\"type\\\"\\nLIMIT 10;\", \"columns\": [\"type\", \"support\"], \"rows\": [{\"type\": \"TV Show\", \"support\": 2676}, {\"type\": \"Movie\", \"support\": 6131}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f91b7c54693583e8c6fba3d8fa6c18f8107de26a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:58:09.147534+00:00", + "ended_at": "2026-05-19T15:58:18.879223+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_ea0f78a371f42d6d", + "problem_id": "v2p_c17_13fab5e104feda5a", + "dataset_id": "c17", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=type.", + "bindings": { + "group_col": "type", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_ea0f78a371f42d6d.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_ea0f78a371f42d6d", + "api_calls": 0, + "input_tokens": 14656, + "cached_input_tokens": 13696, + "output_tokens": 331, + "total_tokens": 14987, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9718.75, + "sql_execution_elapsed_ms_total": 7.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4e8975130f8e9572bf4424953ce0582c58e6e3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:18.869781+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9718.75, "started_at": "2026-05-19T15:58:09.149416+00:00", "ended_at": "2026-05-19T15:58:18.868197+00:00", "prompt_metrics": {"chars": 9151, "bytes_utf8": 9153, "lines": 238, "estimated_tokens": null}, "response_metrics": {"chars": 295, "bytes_utf8": 295, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14656, "cached_input_tokens": 13696, "output_tokens": 331, "reasoning_output_tokens": 241}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"type\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY \\\"support\\\" ASC, \\\"type\\\"\\nLIMIT 10;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"type\\\" and top_k=10.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d393be86e56e8521c22603460ff4abba6fc37e40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_ea0f78a371f42d6d", + "api_calls": 0, + "input_tokens": 14656, + "cached_input_tokens": 13696, + "output_tokens": 331, + "total_tokens": 14987, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9718.75, + "sql_execution_elapsed_ms_total": 7.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ea0f78a371f42d6d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..28bde63ba0e9b1ff142330b8b4adc870daa3241a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=rating, condition_col=type. +Result preview: [{"rating": "UR", "condition_rate": 1.0}, {"rating": "PG-13", "condition_rate": 1.0}, {"rating": "PG", "condition_rate": 1.0}, {"rating": "NC-17", "condition_rate": 1.0}, {"rating": "G", "condition_rate": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b03a040c81912fb8789c59f664a078e147f8e180 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_c17_ef2e680a385b15de +-- problem_id: v2p_c17_a635e81a29b347c0 +-- realization_mode: agent +-- source_kind: agent +SELECT "rating", + AVG(CASE WHEN "type" = 'Movie' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "c17" +GROUP BY "rating" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d8a7233393b9e8d3adf75b748b4e4bda1154d89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"rating\",\n AVG(CASE WHEN \"type\" = 'Movie' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"c17\"\nGROUP BY \"rating\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"rating\\\",\\n AVG(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"rating\", \"condition_rate\"], \"rows\": [{\"rating\": \"UR\", \"condition_rate\": 1.0}, {\"rating\": \"PG-13\", \"condition_rate\": 1.0}, {\"rating\": \"PG\", \"condition_rate\": 1.0}, {\"rating\": \"NC-17\", \"condition_rate\": 1.0}, {\"rating\": \"G\", \"condition_rate\": 1.0}, {\"rating\": \"84 min\", \"condition_rate\": 1.0}, {\"rating\": \"74 min\", \"condition_rate\": 1.0}, {\"rating\": \"66 min\", \"condition_rate\": 1.0}, {\"rating\": \"R\", \"condition_rate\": 0.9974968710888611}, {\"rating\": \"NR\", \"condition_rate\": 0.9375}, {\"rating\": \"TV-Y7-FV\", \"condition_rate\": 0.8333333333333334}, {\"rating\": \"TV-14\", \"condition_rate\": 0.6606481481481481}, {\"rating\": \"TV-MA\", \"condition_rate\": 0.6429685063922669}, {\"rating\": \"TV-PG\", \"condition_rate\": 0.6257242178447276}, {\"rating\": \"TV-G\", \"condition_rate\": 0.5727272727272728}, {\"rating\": \"\", \"condition_rate\": 0.5}, {\"rating\": \"TV-Y\", \"condition_rate\": 0.42671009771986973}, {\"rating\": \"TV-Y7\", \"condition_rate\": 0.4161676646706587}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f35bbe72078115edfe8a5a0ef3ba3b56138f7146 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T15:56:14.460840+00:00", + "ended_at": "2026-05-19T15:56:26.991942+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_ef2e680a385b15de", + "problem_id": "v2p_c17_a635e81a29b347c0", + "dataset_id": "c17", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=rating, condition_col=type.", + "bindings": { + "group_col": "rating", + "condition_col": "type", + "condition_value": "Movie", + "positive_value": "Movie", + "negative_value": "TV Show", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2019.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_ef2e680a385b15de.sql", + "usage_summary": { + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_ef2e680a385b15de", + "api_calls": 0, + "input_tokens": 14706, + "cached_input_tokens": 12032, + "output_tokens": 602, + "total_tokens": 15308, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12518.67, + "sql_execution_elapsed_ms_total": 7.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3074fea536bf1bc264423e8ecda2d3cae3fab0fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:26.982731+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12518.67, "started_at": "2026-05-19T15:56:14.462952+00:00", "ended_at": "2026-05-19T15:56:26.981655+00:00", "prompt_metrics": {"chars": 9422, "bytes_utf8": 9424, "lines": 243, "estimated_tokens": null}, "response_metrics": {"chars": 339, "bytes_utf8": 339, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14706, "cached_input_tokens": 12032, "output_tokens": 602, "reasoning_output_tokens": 507}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"rating\\\",\\n AVG(CASE WHEN \\\"type\\\" = 'Movie' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"c17\\\"\\nGROUP BY \\\"rating\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Grouped condition rate by rating, measuring the within-rating proportion of rows where type is 'Movie'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a9581b6fee43e00411888e2fd20be3aeab128355 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "c17", + "model": "v2-cli:codex", + "run_id": "v2q_c17_ef2e680a385b15de", + "api_calls": 0, + "input_tokens": 14706, + "cached_input_tokens": 12032, + "output_tokens": 602, + "total_tokens": 15308, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12518.67, + "sql_execution_elapsed_ms_total": 7.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_ef2e680a385b15de/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a02083d0d768b27d0a7771b52172244bb47b8eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"total_rows": 8807, "missing_rows": 0, "missing_rate": 0.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8cfbedb5ed82027924faa547cd71a369f9b2159e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: c17 +-- family_id: missingness_structure +-- canonical_subitem_id: marginal_missing_rate_consistency +-- intended_facet_id: missing_indicator_distribution +-- variant_semantic_role: missing_indicator_view +-- template_id: tpl_missing_marginal_rate_profile +-- query_record_id: v2q_c17_fcf0fda9cc46ce65 +-- problem_id: v2p_c17_c0aed40c75b132ec +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + COUNT(*) AS total_rows, + SUM(CASE WHEN "duration" IS NULL THEN 1 ELSE 0 END) AS missing_rows, + AVG(CASE WHEN "duration" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate +FROM "c17"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77a86caac5ebc1e094d6c245457b8d194a2d005a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: c17\n-- family_id: missingness_structure\n-- canonical_subitem_id: marginal_missing_rate_consistency\n-- intended_facet_id: missing_indicator_distribution\n-- variant_semantic_role: missing_indicator_view\n-- template_id: tpl_missing_marginal_rate_profile\n-- query_record_id: v2q_c17_fcf0fda9cc46ce65\n-- problem_id: v2p_c17_c0aed40c75b132ec\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN \"duration\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN \"duration\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM \"c17\";", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: c17\\n-- family_id: missingness_structure\\n-- canonical_subitem_id: marginal_missing_rate_consistency\\n-- intended_facet_id: missing_indicator_distribution\\n-- variant_semantic_role: missing_indicator_view\\n-- template_id: tpl_missing_marginal_rate_profile\\n-- query_record_id: v2q_c17_fcf0fda9cc46ce65\\n-- problem_id: v2p_c17_c0aed40c75b132ec\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n COUNT(*) AS total_rows,\\n SUM(CASE WHEN \\\"duration\\\" IS NULL THEN 1 ELSE 0 END) AS missing_rows,\\n AVG(CASE WHEN \\\"duration\\\" IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\\nFROM \\\"c17\\\";\", \"columns\": [\"total_rows\", \"missing_rows\", \"missing_rate\"], \"rows\": [{\"total_rows\": 8807, \"missing_rows\": 0, \"missing_rate\": 0.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..db916d09804d66637a1824407b8d9bdceaa22472 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "c17", + "started_at": "2026-05-19T16:03:15.314024+00:00", + "ended_at": "2026-05-19T16:03:15.317023+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_c17_fcf0fda9cc46ce65", + "problem_id": "v2p_c17_c0aed40c75b132ec", + "dataset_id": "c17", + "template_id": "tpl_missing_marginal_rate_profile", + "template_name": "Marginal Missing Rate Profile", + "family_id": "missingness_structure", + "canonical_subitem_id": "marginal_missing_rate_consistency", + "intended_facet_id": "missing_indicator_distribution", + "variant_semantic_role": "missing_indicator_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": false, + "question": "Use template Marginal Missing Rate Profile to probe marginal_missing_rate_consistency with semantic role missing_indicator_view. Focus on missing_col=duration.", + "bindings": { + "missing_col": "duration" + }, + "binding_roles": [ + "missing_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n COUNT(*) AS total_rows,\n SUM(CASE WHEN {missing_col} IS NULL THEN 1 ELSE 0 END) AS missing_rows,\n AVG(CASE WHEN {missing_col} IS NULL THEN 1.0 ELSE 0.0 END) AS missing_rate\nFROM {table};", + "notes": [ + "default_facets=missing_indicator_distribution", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/sql/v2q_c17_fcf0fda9cc46ce65.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_fcf0fda9cc46ce65/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file